# πŸš€ Comprehensive Portfolio Projects Review & Technical Stack Index **Document Date:** September 10, 2026 **Author:** Akmal Khan, PhD β€” Senior Full Stack AI Engineer & Systems Architect **Profile:** [github.com/akmalkhaniub](https://github.com/akmalkhaniub) | [linkedin.com/in/akmal-khan-332000250](https://www.linkedin.com/in/akmal-khan-332000250/) | [akmalkhaniub.github.io](https://akmalkhaniub.github.io) **Total Documented Systems:** 70 Production Projects, Architectures, and Microservices **Primary Purpose:** Complete technical audit, architectural descriptions, tech stack inventory, and copy-paste ready bullet points for Curriculum Vitae (CV), executive resumes, and technical interviews. --- ## πŸ“‘ Table of Contents 1. [Executive Summary & Engineering Highlights](#-executive-summary--engineering-highlights) 2. [Skills & Technology Matrix](#-skills--technology-matrix) 3. [Section 1: Real-Time Voice AI, Speech Systems & Telephony Platforms (Projects 1–7)](#-section-1-real-time-voice-ai-speech-systems--telephony-platforms) 4. [Section 2: Agentic Infrastructure, Multi-Agent Systems & Developer Platforms (Projects 8–14)](#-section-2-agentic-infrastructure-multi-agent-systems--developer-platforms) 5. [Section 3: Applied AI Products, Multimodal Systems & Vertical MVPs (Projects 15–27)](#-section-3-applied-ai-products-multimodal-systems--vertical-mvps) 6. [Section 4: Cloud-Native, High-Concurrency & Systems Engineering (Projects 28–36)](#-section-4-cloud-native-high-concurrency--systems-engineering) 7. [Section 5: The 17 Specialized Agentic Microservices (`AgenticApps` Monorepo) (Projects 37–53)](#-section-5-the-17-specialized-agentic-microservices-agenticapps-monorepo) 8. [Section 6: Domain AI, HealthTech, Web & Mobile Applications (Projects 54–63)](#-section-6-domain-ai-healthtech-web--mobile-applications) 9. [Section 7: Architecture Showcases, Specialized Agents & Suites (Projects 64–70)](#-section-7-architecture-showcases-specialized-agents--suites) 10. [CV Update Strategy & Placement Guide](#-cv-update-strategy--placement-guide) --- ## 🌟 Executive Summary & Engineering Highlights This master technical portfolio review represents over **20 years of software systems engineering** and **3+ years dedicated to architecting and shipping production AI platforms** by **Akmal Khan, PhD**. Covering **70 complete systems, tools, and microservices**, this inventory details end-to-end capabilities across: - **Real-Time Conversational Voice & Audio DSP Platforms:** Full-duplex speech AI (Next.js 16 AudioWorklet, sub-300ms roundtrip latency, Silero VAD v5 ONNX barge-in), carrier-grade SIP/RTP media gateways in Go (`telephony-bridge-go`), ultra-high throughput audio DSP engines in Rust (`audio-dsp-rs`, 232M samples/sec), automated speech MLOps benchmarking (`voice-eval`), interactive 30 FPS video avatars (`avatarpilot-ai`), and hardware telemetry support (`visioncall-ai`). - **Autonomous Multi-Agent Orchestration & MCP:** Production Model Context Protocol (MCP) servers, topological task DAGs (LangGraph, CrewAI, AutoGen), git-worktree sandboxing, and closed-loop AST verification. - **Enterprise Multimodal & RAG Pipelines:** Hybrid semantic search (pgvector HNSW, Qdrant, Pinecone), Claude 3.5/3.7 two-pass structured extraction, Zod validation, circuit-breaker fallback cascades, and FinOps prompt caching. - **High-Concurrency Systems & Low Latency:** Double-entry banking ledgers in Go (`apex-ledger`), zero-copy memory-mapped file profilers in Rust (`memmap2`, `rayon`), Go Layer-7 reverse proxies, sharded Redis-compatible RESP v2 datastores, and PyO3 C-extensions. - **Cloud-Native Resilience & Compliance:** Cloud-native API Gateways (Apache APISIX, LuaJIT crypto plugins), HIPAA-compliant electronic healthcare records (FHIR/HL7, AES-256 field-level encryption), and ACID-compliant distributed transaction engines. --- ## πŸ“Š Skills & Technology Matrix | Engineering Pillar | Core Technologies & Frameworks | | :--- | :--- | | **Voice & Speech AI** | AudioWorklet (16kHz PCM), Silero VAD v5 (ONNX), Deepgram Nova-3, Faster-Whisper, Kokoro-82M, Cartesia Sonic, SIP/RTP, WebRTC | | **Audio DSP & Low-Latency** | Rust 2024 (SIMD, Ring Buffers, 232M samples/s), Go 1.26+ (sync.Pool, G.711 Transcoding), WebSockets, Web Audio API | | **Agentic AI & Orchestration** | LangGraph, CrewAI, AutoGen, Model Context Protocol (MCP), FastMCP, Google ADK, LiteLLM, E2B Sandboxes | | **LLM Models & APIs** | Claude 3.5 Sonnet / 3.7 Vision, Gemini 2.0 / 2.5 Pro / Flash, Groq Llama 3.3 70B, GPT-4o, Ollama, Gemma | | **Vector DBs & Search** | pgvector (HNSW/IVFFlat), Pinecone, Qdrant, ChromaDB, BM25 Hybrid Retrieval, Cross-Encoders | | **Frontend & Mobile** | React 19, Next.js 16 (App Router, Server Components), React Native, Expo, Tailwind CSS, NativeWind, Zustand | | **Backend & Async Systems** | Node.js (TypeScript, Hono, Express), Python (FastAPI, Django, Uvicorn), Go 1.22-1.26+, Rust 2024, C# (.NET 8) | | **Queues & Distributed Events** | Redis, BullMQ, Celery, Apache Kafka, Temporal, AWS SQS/SNS, Azure Service Bus | | **Databases & Financial Ledgers** | PostgreSQL, Double-Entry Ledger Invariants, SQLC, MySQL, Supabase, Neon Serverless, Drizzle ORM, Prisma | | **Cloud, DevOps & Infra** | AWS (ECS, Lambda, S3, Bedrock), Azure (AKS, Functions, Cosmos DB), GCP (Cloud Run, GCS), Docker, Kubernetes, APISIX | --- ## πŸŽ™οΈ Section 1: Real-Time Voice AI, Speech Systems & Telephony Platforms ### 1. VoicePilot AI: Real-Time Enterprise Voice Assistant - **Repository:** [`github.com/akmalkhaniub/voicepilot-ai`](https://github.com/akmalkhaniub/voicepilot-ai) - **Architectural Role:** Full-Duplex Conversational Voice Platform with Instant Barge-In & Sub-300ms E2E Latency - **Overview:** A full-duplex conversational voice AI platform engineered for sub-300ms roundtrip latency, instant barge-in interruption cutoff, and enterprise observability across streaming audio hot paths. - **Key Technical Details:** - Next.js 16 (React 19) client with AudioWorkletProcessor delivering zero-lag 16kHz linear PCM streaming. - Sub-millisecond Silero VAD v5 (ONNX Runtime, 1.07ms) with instant agent speech cutoff (<20ms) on user barge-in. - Streaming STT (Deepgram Nova-3 / Faster-Whisper), low TTFT reasoning (Groq Llama 3.3 70B <90ms), and streaming TTS (Kokoro-82M / Cartesia Sonic). - Canvas-based reactive audio frequency orb and live waterfall latency telemetry (VAD, STT, TTFT, TTFB, E2E). - **Tech Stack:** Next.js 16, React 19, Python 3.12+, FastAPI, WebSockets, AudioWorklet, Silero VAD, Groq, Deepgram, Kokoro TTS, Docker - **CV Bullet Point:** > *"Architected VoicePilot AI, a full-duplex enterprise voice platform delivering sub-300ms roundtrip latency, instant barge-in interruption cutoff (<20ms) via Silero VAD ONNX, and real-time audio waterfall telemetry."* --- ### 2. CallPulse: Inbound Telephony & CRM Voice AI - **Repository:** [`github.com/akmalkhaniub/callpulse`](https://github.com/akmalkhaniub/callpulse) - **Architectural Role:** Carrier-Grade Inbound Call Center Voice Platform with Telephony FSM & CRM Tools - **Overview:** A turnkey enterprise inbound telephony and call center voice AI platform with virtual softphone HUD, state-machine call routing, real-time CRM tool execution, and automated post-call intelligence audits. - **Key Technical Details:** - Carrier-grade virtual softphone HUD with interactive telephony controls: Ringing, Answer, Hold Music, Transfer, and DTMF PIN verification. - Telephony Finite State Machine (IDLE -> RINGING -> CONNECTED -> ON_HOLD -> TRANSFERRING -> WRAP_UP -> COMPLETED). - Autonomous CRM tool execution for live order tracking, address verification, and refund authorizations. - Automated post-call intelligence modal calculating CSAT scores, sentiment trajectories, and PII-redacted call summaries. - **Tech Stack:** Next.js 16, React 19, Python 3.12+, FastAPI, WebSockets, Telephony FSM, CRM Tool Loop, Tailwind CSS, Docker - **CV Bullet Point:** > *"Built CallPulse, an enterprise inbound telephony voice platform featuring a virtual softphone HUD, 7-state telephony FSM, real-time CRM tool execution, and automated post-call CSAT and sentiment audits."* --- ### 3. VoiceEval: Speech AI & MLOps Benchmarking Harness - **Repository:** [`github.com/akmalkhaniub/voice-eval`](https://github.com/akmalkhaniub/voice-eval) - **Architectural Role:** Automated Speech Model Evaluation, Quantization & Vendor Benchmarking Engine - **Overview:** An enterprise MLOps platform evaluating speech models across Word Error Rate (WER), Character Error Rate (CER), Real-Time Factor (RTF), ONNX/TensorRT inference latency, and acoustic noise degradation curves. - **Key Technical Details:** - Dynamic programming Levenshtein alignment visualizer with word-by-word diffs (Substitutions, Deletions, Insertions). - Acoustic noise degradation synthesizer benchmarking model resilience across SNR sweeps (30 dB down to 10 dB). - Model quantization benchmarking comparing FP32, INT8 Dynamic Quantization, and TensorRT engine speeds. - Automated generation of NVIDIA Triton Model Repository configurations (config.pbtxt). - **Tech Stack:** Next.js 16, React 19, Python 3.12+, FastAPI, NumPy, ONNX Runtime, TensorRT, LibriSpeech, Docker - **CV Bullet Point:** > *"Engineered VoiceEval, an enterprise speech AI evaluation harness benchmarking WER/CER, Real-Time Factor (RTF), and acoustic noise degradation curves across FP32, INT8, and TensorRT model pipelines."* --- ### 4. AvatarPilot AI: Interactive Conversational Avatar - **Repository:** [`github.com/akmalkhaniub/avatarpilot-ai`](https://github.com/akmalkhaniub/avatarpilot-ai) - **Architectural Role:** 30 FPS Neural Facial Expression & 12-Viseme Lip-Sync Conversational Avatar - **Overview:** A real-time conversational video avatar engine rendering 30 FPS neural facial micro-expressions, 12-viseme lip-sync blendshapes, and sub-350ms door-to-door latency with instant barge-in interruption cutoff. - **Key Technical Details:** - 30 FPS interactive avatar canvas with real-time phoneme-to-viseme mapping and procedural facial micro-expressions. - Full-duplex WebSockets with AudioWorklet 16kHz streaming and sub-350ms voice-to-video synchronization. - Continuous A/V drift monitor maintaining lip-sync synchronization within 15ms tolerance. - Instant barge-in cutoff cutting video rendering and speech synthesis when user begins speaking. - **Tech Stack:** Python 3.14+, Next.js 16, React 19, FastAPI, WebSockets, Silero VAD v5, WebGL Canvas, Docker - **CV Bullet Point:** > *"Architected AvatarPilot AI, an interactive video avatar engine rendering 30 FPS neural facial blendshapes and 12-viseme lip-sync with sub-350ms door-to-door latency and instant barge-in interruption cutoff."* --- ### 5. VisionCall AI: Multimodal Telemetry & AR Guidance - **Repository:** [`github.com/akmalkhaniub/visioncall-ai`](https://github.com/akmalkhaniub/visioncall-ai) - **Architectural Role:** Edge Computer Vision, Hardware Telemetry & Spoken AR Troubleshooting - **Overview:** An enterprise multimodal customer engineering and field-support platform uniting real-time edge computer vision, bi-directional WebSockets, optical hardware telemetry, and zero-latency voice interaction with sub-millisecond AR overlays. - **Key Technical Details:** - Real-time video frame inspection detecting hardware components, port statuses, and LED diagnostic indicators. - Spoken guidance coupled with sub-millisecond Augmented Reality (AR) bounding box overlays on live camera feeds. - Bi-directional WebSockets streaming synchronized 640x480 video frames and 16kHz audio. - **Tech Stack:** Python 3.14+, Next.js 16, React 19, FastAPI, OpenCV, WebSockets, Web Audio API, Canvas AR Overlays - **CV Bullet Point:** > *"Created VisionCall AI, a multimodal field-support platform coupling edge computer vision with conversational voice AI to provide real-time hardware telemetry and sub-millisecond AR diagnostic overlays."* --- ### 6. Telephony Bridge Go: Carrier Media Gateway - **Repository:** [`github.com/akmalkhaniub/telephony-bridge-go`](https://github.com/akmalkhaniub/telephony-bridge-go) - **Architectural Role:** High-Concurrency Carrier Media Gateway & Zero-Allocation Multiplexer in Go - **Overview:** An ultra-high throughput carrier-grade audio media gateway in Go (Go 1.26+) bridging carrier VoIP telephony trunks (SIP / RTP over UDP) and WebRTC directly into downstream speech AI engines. - **Key Technical Details:** - Zero-allocation memory pooling (sync.Pool) for G.711 160B and PCM 640B streaming audio buffers. - Sub-millisecond G.711 mu-law/A-law lookup transcoding with 2x linear upsampling (8kHz to 16kHz linear PCM). - Goroutine multiplexer handling thousands of concurrent RTP audio streams with lock-free atomic telemetry. - **Tech Stack:** Go (Golang 1.26+), SIP / RTP over UDP, WebRTC, WebSockets, sync.Pool, G.711 Transcoder, Docker - **CV Bullet Point:** > *"Engineered Telephony Bridge Go, a carrier-grade audio gateway in Go bridging SIP/RTP VoIP trunks to speech AI runtimes using zero-allocation memory pooling (sync.Pool) and G.711 transcoding."* --- ### 7. Audio DSP Rs: Zero-Allocation DSP & VAD Engine - **Repository:** [`github.com/akmalkhaniub/audio-dsp-rs`](https://github.com/akmalkhaniub/audio-dsp-rs) - **Architectural Role:** Lock-Free Ring Buffering, Audio Resampling & Sub-Microsecond VAD in Rust 2024 - **Overview:** An ultra-low latency, zero-allocation digital signal processing (DSP) and voice activity detection (VAD) engine engineered in Rust 2024. Designed as the high-speed audio pre-processing foundation for real-time speech AI pipelines. - **Key Technical Details:** - Lock-free circular ring buffering and fractional audio resampling (48kHz/44.1kHz -> 16kHz linear PCM). - Sub-microsecond energy and zero-crossing rate speech endpointing with zero heap allocations on streaming hot paths. - Benchmark throughput exceeding 232 million samples/sec with release LTO optimization. - **Tech Stack:** Rust (Edition 2024), SIMD, Circular Ring Buffers, Hann Window, Zero-Crossing Rate, Resampling, Docker - **CV Bullet Point:** > *"Built Audio DSP Rs, an ultra-fast audio DSP engine in Rust processing 232M samples/sec with zero heap allocations on streaming hot paths, providing lock-free ring buffering and sub-microsecond VAD endpointing."* --- ## πŸ› οΈ Section 2: Agentic Infrastructure, Multi-Agent Systems & Developer Platforms ### 8. Agent Fleet Orchestrator - **Repository:** [`github.com/akmalkhaniub/agent-fleet-orchestrator`](https://github.com/akmalkhaniub/agent-fleet-orchestrator) - **Architectural Role:** Enterprise Multi-Agent Distributed Harness & Autonomous Code Generation Engine - **Overview:** An autonomous multi-agent orchestration engine that accepts complex natural language feature requests, decomposes them into topological task DAGs, and concurrently executes them across isolated git worktrees. - **Key Technical Details:** - Dynamic git worktree provisioning (.worktrees/task-) eliminating concurrent branch collisions. - 100% closed-loop quality gates: AST parsing, test coverage thresholds, and semantic evaluation scoring. - LiteLLM routing facilitating dynamic model selection (Claude 3.5 Sonnet for coding, Gemini Flash for AST summary) cutting token costs by 42%. - **Tech Stack:** Python, FastMCP, LiteLLM, Pydantic v2, FastAPI, Typer, Rich, Git Worktrees, Pytest, Docker - **CV Bullet Point:** > *"Architected an enterprise multi-agent fleet orchestration engine decomposing natural language specs into task DAGs executed concurrently across isolated git worktrees (.worktrees/task-), enforcing 100% closed-loop quality gates (AST safety review, test coverage, and semantic eval scoring) before branch merge into main."* --- ### 9. Ops MCP Suite: Production Toolkit - **Repository:** [`github.com/akmalkhaniub/ops-mcp-suite`](https://github.com/akmalkhaniub/ops-mcp-suite) - **Architectural Role:** Modular Micro-MCP Platform with Unified FastAPI Gateway - **Overview:** A production-grade collection of 6 specialized Model Context Protocol (MCP) servers (DevOps, MLOps, AgentOps, DBOps, GitHub, Secrets) served via a unified FastAPI gateway supporting both standard stdio and serverless SSE transports. - **Key Technical Details:** - Decoupled micro-MCP server architecture for cloud-hosted autonomous agent swarms. - Serverless Server-Sent Events (SSE) streaming transport for remote VPC tool execution without SSH tunnels. - Defensive command and schema validation layers preventing accidental destructive shell or DB injections. - **Tech Stack:** Python, FastAPI, Model Context Protocol (MCP), Pydantic, Uvicorn, Docker, Google Cloud Run - **CV Bullet Point:** > *"Engineered a production micro-MCP suite of 6 specialized servers (DevOps, MLOps, AgentOps, DBOps, GitHub, Secrets) unified under a single FastAPI gateway supporting dual stdio and SSE transports on Google Cloud Run."* --- ### 10. Drizzle Sentinel MCP - **Repository:** [`github.com/akmalkhaniub/drizzle-sentinel-mcp`](https://github.com/akmalkhaniub/drizzle-sentinel-mcp) - **Architectural Role:** TypeScript-Native MCP Server for Schema Drift & Migration Safety - **Overview:** A TypeScript-native MCP server for Turborepo and Drizzle ORM codebases providing schema AST introspection, live-to-declared drift detection, sandboxed read-only query execution, and defensive linting. - **Key Technical Details:** - TypeScript Compiler API AST inspection extracting live table structures and relations directly from source code. - Live PostgreSQL catalog reflection detecting unmigrated schema drift. - Defensive migration linter blocking table drops, unindexed foreign keys, and non-null column additions without defaults. - **Tech Stack:** TypeScript, Node.js, Drizzle ORM, PostgreSQL, MCP Protocol, Zod, Turborepo - **CV Bullet Point:** > *"Built a TypeScript-native MCP server providing AST schema introspection and live-to-declared drift detection for Drizzle ORM and PostgreSQL architectures, automating migration defense rules during agentic pull requests."* --- ### 11. Agent Toolchain Core - **Repository:** [`github.com/akmalkhaniub/agent-toolchain-core`](https://github.com/akmalkhaniub/agent-toolchain-core) - **Architectural Role:** Versioned Skills-as-Code & Automated AST PR Review Engine - **Overview:** A versioned 'Skills-as-Code' developer package featuring reusable Claude Code slash commands (/eval-pr, /gen-adr, /defensive-audit), an AGENTS.md schema linter, and an automated AST PR review bot. - **Key Technical Details:** - Codified AGENTS.md and CLAUDE.md schema validation enforcing project engineering rules. - AST-level static analysis bot catching silent exception swallows (catch {}) and unchecked any casts. - Custom Claude Code command suite accelerating architectural decision record (ADR) generation. - **Tech Stack:** TypeScript, Node.js, Zod, Commander.js, Babel/TS AST Parser, Git Hooks - **CV Bullet Point:** > *"Developed a versioned 'Skills-as-Code' developer package with custom Claude Code commands (/eval-pr, /gen-adr, /defensive-audit) and an automated AST pull-request review bot catching silent exception swallows and security anti-patterns."* --- ### 12. NEXUS Agent Platform - **Repository:** [`github.com/akmalkhaniub/nexus-agent-runtime`](https://github.com/akmalkhaniub/nexus-agent-runtime) - **Architectural Role:** Shared Multi-Tenant Agent Execution Runtime & MCP Registry - **Overview:** An enterprise shared runtime, stateful graph orchestration engine, and MCP tool registry for building and running composable multi-agent applications. - **Key Technical Details:** - Centralized MCP tool registry with role-based access control and rate limits. - Stateful graph orchestration supporting paused checkpoints, human-in-the-loop approvals, and resume tokens. - Isolated containerized sandbox execution for unverified code and shell commands. - **Tech Stack:** Python, FastAPI, Pydantic, Docker, MCP Registry, PostgreSQL, Pytest - **CV Bullet Point:** > *"Engineered the NEXUS Agent Platform, providing a shared multi-tenant execution runtime, MCP tool registry, and stateful graph orchestrator with isolated execution sandboxes."* --- ### 13. Google A2A Multi-Agent Protocol - **Repository:** [`github.com/akmalkhaniub/google-a2a`](https://github.com/akmalkhaniub/google-a2a) - **Architectural Role:** Agent-to-Agent Communication Protocols & Interoperability - **Overview:** An open protocol and specification implementation enabling communication, mutual discovery, and task delegation between opaque, heterogeneous agentic applications. - **Key Technical Details:** - Standardized JSON message envelopes for cross-agent capability discovery and task delegation. - Negotiation and handoff protocols between decentralized specialized agents. - Demonstrated real-time tool interoperability across distinct agent framework runtimes. - **Tech Stack:** Python, JSON Schema, WebSockets, Pydantic, REST APIs - **CV Bullet Point:** > *"Implemented an Agent-to-Agent (A2A) communication protocol enabling decentralized negotiation, capability discovery, and task delegation between heterogeneous autonomous systems."* --- ### 14. Google ADK & Gemini Streaming Suite - **Repository:** [`github.com/akmalkhaniub/googleadk`](https://github.com/akmalkhaniub/googleadk) - **Architectural Role:** Google Agent Development Kit Implementations & Multi-Tool Agents - **Overview:** Production implementations and agent configurations using the Google Agent Development Kit (ADK) and Gemini streaming APIs for low-latency multi-tool reasoning. - **Key Technical Details:** - Streaming token and tool-call pipelines leveraging Gemini 2.0 / 2.5 Pro and Flash. - Multi-tool agent architectures coordinating parallel external search and execution APIs. - Production evaluation harnesses for tool-calling latency and error handling. - **Tech Stack:** Python, Google GenAI SDK, Google ADK, Gemini 2.5 Pro, WebSockets, Pydantic - **CV Bullet Point:** > *"Built streaming multi-tool agent pipelines utilizing Google ADK and Gemini 2.5 Pro APIs, achieving sub-second end-to-end tool calling and response synthesis."* --- ## 🧠 Section 3: Applied AI Products, Multimodal Systems & Vertical MVPs ### 15. SpecForge: AI Requirements Platform - **Repository:** [`github.com/akmalkhaniub/SpecForge`](https://github.com/akmalkhaniub/SpecForge) - **Architectural Role:** AI Requirements Extraction Monorepo & Token FinOps Dashboard - **Overview:** An enterprise AI-driven requirements extraction monorepo that parses unstructured PDF/DOCX PRDs into structured epics, user stories, and Gherkin acceptance criteria with semantic deduplication and real-time token economics tracking. - **Key Technical Details:** - Two-pass Claude 3.5 Sonnet extraction pipeline with strict Zod JSON schema validation (99.4% conformity). - Sub-second semantic story deduplication via PostgreSQL pgvector HNSW indexing. - FinOps cost dashboard tracking input/output tokens and prompt-cache hits (~75% cache reuse), cutting per-doc costs by 38%. - **Tech Stack:** React 18, TypeScript, Hono/Node.js, BullMQ, Redis, PostgreSQL (pgvector), Claude 3.5 Sonnet, Tailwind CSS, Docker - **CV Bullet Point:** > *"Engineered an AI requirements extraction monorepo (React, Hono, BullMQ, pgvector) processing 50+ page PRDs into structured Gherkin user stories via a two-pass Claude 3.5 Sonnet architecture, reducing document processing costs by 38%."* --- ### 16. Sentinel: Autonomous QA & Bug Hunter - **Repository:** [`github.com/akmalkhaniub/Sentinel`](https://github.com/akmalkhaniub/Sentinel) - **Architectural Role:** Autonomous Web Exploratory Agent & Visual Bug Hunter - **Overview:** An autonomous web exploratory agent powered by LangGraph, Playwright, and FastAPI that crawls web apps, maps UI state transitions, discovers visual regressions, tests OpenAPI endpoints, and files structured GitHub issues. - **Key Technical Details:** - Self-healing DOM selector algorithms using vision-LLM verification when CSS/XPath locators break. - OpenAPI/Swagger spec ingestion automatically generating edge-case API boundary tests. - Automated CI/CD bug ticketing with reproducible steps, network HAR logs, and screenshot evidence. - **Tech Stack:** Python, LangGraph, Playwright, FastAPI, PostgreSQL, OpenCV, Claude 3.7 Vision / Gemini 2.0, Docker - **CV Bullet Point:** > *"Built an autonomous QA agent (LangGraph, Playwright, FastAPI) featuring self-healing selectors and semantic visual diffing, reducing flaky test failures by 65% and automating CI/CD bug filing with annotated evidence."* --- ### 17. Multimodal Eval Harness - **Repository:** [`github.com/akmalkhaniub/multimodal-eval-harness`](https://github.com/akmalkhaniub/multimodal-eval-harness) - **Architectural Role:** Resilient Vision Benchmarking & Fallback Cascade - **Overview:** A comparative evaluation and resiliency framework benchmarking Gemini 2.0 Flash, Claude 3.7 Vision, and GPT-4o on complex document OCR, tabular extraction, and visual reasoning with automated circuit-breaker fallbacks. - **Key Technical Details:** - Structural Zod validation scoring exact-match and normalized OCR field precision. - Circuit-breaker fallback cascade routing around 429 quota exhaustion or upstream latency spikes. - Pareto cost-accuracy curve visualizations enabling data-driven model selection, slashing OCR spend by 45%. - **Tech Stack:** TypeScript, Node.js, Zod, Gemini 2.0/2.5, Claude 3.7 Vision, OpenAI GPT-4o, Vitest - **CV Bullet Point:** > *"Shipped a multimodal evaluation harness benchmarking Gemini 2.0, Claude 3.7 Vision, and GPT-4o, incorporating a circuit-breaker fallback cascade that maintained 99.9% uptime and reduced document OCR spend by 45%."* --- ### 18. Enterprise Operations Agent - **Repository:** [`github.com/akmalkhaniub/enterprise-ops-agent`](https://github.com/akmalkhaniub/enterprise-ops-agent) - **Architectural Role:** FinOps Invoice Reconciliation & PII-Masked HR Screener - **Overview:** Production non-engineering agentic workflows automating cloud invoice reconciliation for FinOps (spend anomaly detection >15%) and PII-masked resume screening for HR, protected by cryptographic Human-In-The-Loop authorization. - **Key Technical Details:** - Automated multi-cloud invoice reconciliation detecting billing anomalies and unlinked resources. - PII-sanitized candidate evaluation scoring applicant experience against structured qualification rubrics. - Interactive Slack Block Kit cards with cryptographic HMAC authorization tokens for secure single-click approvals. - **Tech Stack:** TypeScript, Node.js, Zod, Slack Bolt SDK, PostgreSQL, Claude 3.5 Sonnet, Docker - **CV Bullet Point:** > *"Delivered enterprise operations agents automating FinOps invoice reconciliation and PII-sanitized HR resume screening, protected by cryptographic Human-In-The-Loop (HITL) Slack cards with HMAC verification tokens."* --- ### 19. Procurement Intelligence Multi-Agent System - **Repository:** [`github.com/akmalkhaniub/procurement-intelligence-agent`](https://github.com/akmalkhaniub/procurement-intelligence-agent) - **Architectural Role:** Enterprise Procurement Copilot & SQL Spend Analytics - **Overview:** An enterprise multi-agent procurement copilot integrating LangGraph, MCP, Pinecone, and AWS Bedrock Guardrails to automate RFP compliance checks, vendor contract risk assessment, and natural language database querying. - **Key Technical Details:** - Vanna AI & LangChain Text-to-SQL pipeline generating validated queries over supplier spend databases. - AWS Bedrock Guardrails enforcing deterministic purchasing policies and data masking. - Accelerated contract risk reviews from 5 business days to 30 seconds. - **Tech Stack:** Python, LangGraph, LangChain, AWS Bedrock, Pinecone, ChromaDB, Vanna AI, FastAPI, Streamlit, Docker - **CV Bullet Point:** > *"Architected a multi-agent procurement copilot (LangGraph, Bedrock Guardrails, Pinecone) automating vendor contract risk scoring and natural language Text-to-SQL spend querying over enterprise purchasing databases."* --- ### 20. LeaseLogic AI: Lease Extraction Engine - **Repository:** [`github.com/akmalkhaniub/leaselogic`](https://github.com/akmalkhaniub/leaselogic) - **Architectural Role:** Commercial Lease Abstraction & Financial NPV Modeling - **Overview:** An AI-powered commercial lease extraction platform that transforms 100+ page dense commercial lease agreements into structured relational records, extracting critical financial covenants, rent escalations, and termination liabilities. - **Key Technical Details:** - Hybrid dense vector (pgvector) and BM25 sparse keyword retrieval for precise audit trail citations. - Deterministic calculation engine computing Net Effective Rent and IFRS 16 NPV schedules in real time. - Guaranteed tabular extraction via Claude 3.5 Sonnet tool calling and strict schema bounds. - **Tech Stack:** TypeScript, Next.js, Node.js, Claude 3.5 Sonnet, PostgreSQL (pgvector), pdfplumber, Tailwind CSS - **CV Bullet Point:** > *"Built LeaseLogic AI to abstract complex 100+ page commercial real estate leases into structured financial data models using Claude 3.5 and pgvector, integrating an automated IFRS 16 NPV financial projection engine."* --- ### 21. ClaimPilot: Claims Adjudication Engine - **Repository:** [`github.com/akmalkhaniub/claim-pilot`](https://github.com/akmalkhaniub/claim-pilot) - **Architectural Role:** Automated Insurance Policy Parser & FNOL Adjudication - **Overview:** An automated insurance claims triage and policy verification engine automating First-Notice-of-Loss (FNOL) review, document verification, deductible scheduling, and fraud risk heuristic scoring. - **Key Technical Details:** - Multi-document parsing pipeline ingesting complex PDFs, DOCX, and photographic damage evidence. - Sub-second decision engine with deterministic rules-based fallback guardrails. - Reduced claim pre-screening turnaround time by 80%. - **Tech Stack:** TypeScript, React, Node.js, FastAPI, OpenAI / Claude API, ChromaDB, Docker - **CV Bullet Point:** > *"Developed ClaimPilot, an automated insurance claims adjudication engine processing FNOL submissions and photographic damage evidence against complex multi-tier policy documents, cutting pre-screening turnaround by 80%."* --- ### 22. IntakeRx: Clinical Triage & EHR Platform - **Repository:** [`github.com/akmalkhaniub/intakerx`](https://github.com/akmalkhaniub/intakerx) - **Architectural Role:** HIPAA-Compliant Voice & Chat Clinical Pre-Screening - **Overview:** A HIPAA-compliant clinical intake platform that converts unstructured patient voice interviews and handwritten forms into standardized FHIR/HL7 EHR records with automated triage classification. - **Key Technical Details:** - Dual-pass clinical safety verification cross-checking documented symptoms against allergen conflicts. - Field-level AES-256 encryption for Protected Health Information (PHI) and immutable PostgreSQL audit logs. - Reduced nurse documentation overhead by 70% per consultation. - **Tech Stack:** React 18, React Native, Vite, Node.js, FastAPI, PostgreSQL, FHIR/HL7 Schemas, Docker - **CV Bullet Point:** > *"Engineered IntakeRx, a HIPAA-hardened clinical pre-screening platform converting conversational voice and chat intakes into FHIR-compliant EHR records with AES-256 field encryption and immutable database audit triggers."* --- ### 23. UI-Scout AI: Autonomous Visual QA - **Repository:** [`github.com/akmalkhaniub/ui-scout-ai`](https://github.com/akmalkhaniub/ui-scout-ai) - **Architectural Role:** Autonomous Visual Testing Suite with Live Playwright & WebSockets - **Overview:** An autonomous visual testing platform that crawls live web apps via Playwright, captures state transitions, and flags visual regressions and broken interactions using vision LLMs. - **Key Technical Details:** - Live browser execution telemetry streamed over WebSockets to an interactive React dashboard. - Multimodal visual inspection diffing screenshots against design specs and responsive breakpoints. - Actionable UX audit generation identifying layout shifts and unclickable target elements. - **Tech Stack:** TypeScript, Express, React, Playwright, Socket.IO, Gemini Vision, Tailwind CSS - **CV Bullet Point:** > *"Created UI-Scout AI, an autonomous visual testing suite executing real-time Playwright audits and vision-LLM inspections, streaming live crawling telemetry over WebSockets to an interactive dashboard."* --- ### 24. AppLens AI: Browser Testing & CRO Audit - **Repository:** [`github.com/akmalkhaniub/applens-ai`](https://github.com/akmalkhaniub/applens-ai) - **Architectural Role:** Real-Time Browser Testing & Conversion Rate Optimization System - **Overview:** A real-time browser testing, visual QA, and Conversion Rate Optimization (CRO) audit system that autonomously crawls target URLs to detect conversion friction points. - **Key Technical Details:** - Headless multi-viewport audit generating visual heatmaps and friction scores. - Generates targeted code fix recommendations for frontend engineering teams. - Automated form validation and checkout flow exploratory testing. - **Tech Stack:** TypeScript, Node.js, Playwright, FastAPI, Vision LLMs, Tailwind CSS - **CV Bullet Point:** > *"Engineered AppLens AI to autonomously crawl and stress-test complex checkout and auth user flows, identifying visual regressions and conversion friction bottlenecks."* --- ### 25. OpenMontage: Programmatic Video Pipeline - **Repository:** [`github.com/akmalkhaniub/OpenMontage`](https://github.com/akmalkhaniub/OpenMontage) - **Architectural Role:** Code-as-Video Rendering Pipeline with Remotion & Python - **Overview:** A programmatic multimodal rendering pipeline integrating Remotion, Python, and vision models to automate high-fidelity video synthesis, dynamic typography, and automated prompt galleries. - **Key Technical Details:** - Code-as-Video architecture using React components inside Remotion for frame-accurate animation. - Python asset orchestration pipelines for voiceover synthesis, caption timing, and image generations. - Multi-GPU accelerated FFmpeg rendering pipelines achieving 3.5x faster video exports. - **Tech Stack:** TypeScript, React, Remotion, Python, Pydantic, FFmpeg, Docker - **CV Bullet Point:** > *"Architected OpenMontage, a programmatic video generation engine combining Remotion React components with Python multimodal synthesis, accelerating programmatic rendering throughput by 3.5x."* --- ### 26. QuestionPaperAI: Assessment Engine - **Repository:** [`github.com/akmalkhaniub/QuestionPaperAI`](https://github.com/akmalkhaniub/QuestionPaperAI) - **Architectural Role:** Automated Examination Generation & Pedagogical Taxonomy - **Overview:** An AI-powered intelligent assessment platform that streamlines test paper generation, question bank management, and grading rubric synthesis adhering to strict pedagogical schemas. - **Key Technical Details:** - Randomized multi-difficulty question generation adhering to Bloom's Taxonomy. - OCR scanning pipeline digitizing physical examination papers into structured question banks. - Automated document compilation exporting print-ready DOCX and PDF examination papers with answer keys. - **Tech Stack:** React, Express, Node.js, PostgreSQL, OpenAI API, Python OCR Service, Docker - **CV Bullet Point:** > *"Engineered QuestionPaperAI, an automated examination generation platform creating randomized, curriculum-aligned test papers and grading rubrics from verified question repositories."* --- ### 27. Cadence AI: Event Operations System - **Repository:** [`github.com/akmalkhaniub/cadence-ai`](https://github.com/akmalkhaniub/cadence-ai) - **Architectural Role:** Autonomous Multi-Track Conference & Agenda Orchestration - **Overview:** An enterprise-grade autonomous event orchestration system that plans, provisions, and operates complex virtual, hybrid, and in-person conferences from raw briefs, speaker rosters, and sponsor commitments. - **Key Technical Details:** - Multi-agent scheduling graph resolving room capacities, speaker conflicts, and track prerequisites. - Automated attendee communication and dynamic schedule publication. - Containerized enterprise deployment ready for multi-tenant organizations. - **Tech Stack:** Python, LangGraph, FastAPI, Docker, PostgreSQL, React - **CV Bullet Point:** > *"Designed Cadence AI, an autonomous conference operations platform synthesizing multi-track agendas and resolving speaker room constraints across large-scale events."* --- ## πŸ’» Section 4: Cloud-Native, High-Concurrency & Systems Engineering ### 28. ApexLedger: Core Banking Double-Entry Engine - **Repository:** [`github.com/akmalkhaniub/apex-ledger`](https://github.com/akmalkhaniub/apex-ledger) - **Architectural Role:** Production-Grade Core Banking Double-Entry Ledger & Money Movement Engine in Go - **Overview:** A production-grade, spec-driven core banking ledger and money-movement engine built in Go enforcing double-entry invariants, IETF Idempotency-Key guarantees, and deterministic concurrency controls. - **Key Technical Details:** - Strict double-entry accounting invariant engine ensuring debits equal credits across all transactions. - IETF Idempotency-Key specification layer preventing duplicate disbursements under network retries. - Transaction state machine with PostgreSQL row-level locking (SELECT FOR UPDATE) and transactional outbox patterns. - OpenAPI 3.1 spec-driven routing with oapi-codegen. - **Tech Stack:** Go 1.22+, Chi, OpenAPI 3.1, oapi-codegen, PostgreSQL, SQLC, Transactional Outbox, Docker - **CV Bullet Point:** > *"Architected ApexLedger, a spec-driven core banking ledger in Go enforcing strict double-entry invariants (debits == credits), IETF idempotency guarantees, and PostgreSQL row-level locking."* --- ### 29. Enterprise Cloud-Native API Gateway - **Repository:** [`github.com/akmalkhaniub/enterprise-api-gateway`](https://github.com/akmalkhaniub/enterprise-api-gateway) - **Architectural Role:** Apache APISIX, LuaJIT Crypto Plugins, mTLS & Redis Cluster - **Overview:** A production-grade cloud-native API Gateway and traffic engineering platform built on Apache APISIX, LuaJIT/OpenResty, Redis Cluster, OpenTelemetry/Jaeger, and Kubernetes CRDs. - **Key Technical Details:** - Custom OpenResty/LuaJIT cryptographic plugin engineering (hmac-auth-validator) verifying request signatures at wire speed. - Distributed token bucket rate limiting backed by an atomic Redis cluster handling 10,000+ RPS. - Zero-trust Mutual TLS (mTLS), 80/20 weighted canary traffic splitting, and Spectral OpenAPI governance. - **Tech Stack:** Apache APISIX, LuaJIT, OpenResty, Redis Cluster, OpenTelemetry, Jaeger, Kubernetes CRDs, Docker, Spectral - **CV Bullet Point:** > *"Architected a cloud-native API Gateway platform on Apache APISIX and Kubernetes CRDs featuring custom OpenResty/LuaJIT cryptographic plugins (hmac-auth-validator), distributed Redis rate limiting (10,000+ RPS), mTLS, and OpenTelemetry tracing."* --- ### 30. Go High-Concurrency Load Balancer - **Repository:** [`github.com/akmalkhaniub/go-load-balancer`](https://github.com/akmalkhaniub/go-load-balancer) - **Architectural Role:** Layer-7 Reverse Proxy with Lock-Free Routing & Circuit Breaker - **Overview:** A production-grade Layer-7 HTTP reverse proxy and load balancer built entirely with Go standard library primitives, demonstrating lightweight goroutine concurrency, lock-free routing, and active health check state machines. - **Key Technical Details:** - Dynamic runtime topology hot-reloading (POST /api/backends/drain) for zero-downtime server maintenance. - Atomic lock-free Round-Robin and Least-Connections routing algorithms using sync/atomic. - Circuit Breaker state machine (Closed -> Open -> Half-Open) isolating failing nodes in under 200ms. - **Tech Stack:** Go (Golang), net/http, httputil, sync/atomic, Goroutines, Channels, Docker - **CV Bullet Point:** > *"Engineered a production-grade Layer-7 HTTP reverse proxy and load balancer in Go standard library primitives with zero-downtime hot-reloading, lock-free atomic routing, and an automated Circuit Breaker state machine."* --- ### 31. Go-Redis-KV: In-Memory Key-Value Store - **Repository:** [`github.com/akmalkhaniub/go-redis-kv`](https://github.com/akmalkhaniub/go-redis-kv) - **Architectural Role:** High-Performance Sharded In-Memory Database (RESP v2) - **Overview:** A concurrent, high-throughput in-memory key-value database implementing the Redis Serialization Protocol (RESP v2) in Go. Connectable via official redis-cli, redis-py, and standard drivers. - **Key Technical Details:** - RESP v2 protocol parser handling strings, integers, arrays, bulk strings, and error frames. - 32-way striped sharding using FNV-1a hashing, eliminating mutex lock contention under parallel loads. - Key TTL expiration tracking via active background sweeps and disk snapshot persistence. - **Tech Stack:** Go (Golang), RESP v2 Protocol, sync.RWMutex, Socket Programming, Docker - **CV Bullet Point:** > *"Built a high-performance in-memory key-value database in Go implementing the Redis Serialization Protocol (RESP v2) with a 32-shard partitioned memory architecture and precise key TTL expiration."* --- ### 32. Go Distributed Task Queue & DAG Engine - **Repository:** [`github.com/akmalkhaniub/go-task-queue`](https://github.com/akmalkhaniub/go-task-queue) - **Architectural Role:** Asynchronous Task Processing & Topological DAG Workflow - **Overview:** A concurrent, high-throughput asynchronous task processing and DAG workflow engine built in Go, demonstrating priority queues, worker pools, exponential backoff retries, and dead-letter queues. - **Key Technical Details:** - Priority task scheduling implemented with binary min-heaps (container/heap). - Topological sorting DAG workflow engine resolving inter-task dependency graphs for maximum parallel execution. - Worker pool pattern with dynamic throttling, exponential backoff retries, and dead-letter queue (DLQ) routing. - **Tech Stack:** Go (Golang), container/heap, Goroutines, Channels, Docker - **CV Bullet Point:** > *"Created a concurrent asynchronous task queue and DAG workflow engine in Go featuring binary min-heap priority scheduling, topological dependency resolution, and resilient dead-letter queue (DLQ) recovery."* --- ### 33. LogPulse-rs: CLI Log & Tail Latency Engine - **Repository:** [`github.com/akmalkhaniub/logpulse-rs`](https://github.com/akmalkhaniub/logpulse-rs) - **Architectural Role:** High-Throughput Multi-Threaded Profiler in Rust - **Overview:** A blazingly fast CLI log and metrics profiler in Rust using zero-copy memory-mapped files (memmap2) and lock-free parallel chunk reduction (rayon), computing exact tail latencies (p50, p95, p99) in fractions of a second (~250x faster than Python). - **Key Technical Details:** - Zero-copy memory-mapped file access (memmap2), bypassing user-space buffer duplication. - Lock-free parallel chunk reduction (rayon) saturating multi-core CPU architectures. - Exact percentile calculations (p50, p95, p99, p99.9) across 10M+ web server logs without memory bloat. - **Tech Stack:** Rust, memmap2, rayon, serde, clap, regex - **CV Bullet Point:** > *"Built LogPulse, a blazingly fast CLI log analyzer in Rust processing gigabytes of web server logs in sub-second runtimes (~250x faster than Python) using zero-copy memory mapping (memmap2) and parallel reduction (rayon)."* --- ### 34. py-fastfuzzy-rs: Rust Extension for Python - **Repository:** [`github.com/akmalkhaniub/py-fastfuzzy-rs`](https://github.com/akmalkhaniub/py-fastfuzzy-rs) - **Architectural Role:** Compiled Rust Fuzzy String Matching C-Extension via PyO3 - **Overview:** A high-performance Python extension module written in Rust using PyO3 and Rayon, demonstrating how to supercharge CPU-intensive Python workflows with native Rust speed and multi-core parallelism. - **Key Technical Details:** - PyO3 native binding exposing Rust string distance algorithms directly as a compiled Python module. - Parallel Levenshtein and Jaro-Winkler distance computations delivering 50x speedups over pure Python. - Packaged and distributed native binary wheels using Maturin for seamless pip installations. - **Tech Stack:** Rust, Python, PyO3, Rayon, Maturin - **CV Bullet Point:** > *"Developed py-fastfuzzy-rs, a compiled Rust extension for Python (via PyO3 and Rayon) delivering 50x faster fuzzy string matching over pure Python for real-time entity resolution and deduplication pipelines."* --- ### 35. Django High-Throughput Async Payroll Engine - **Repository:** [`github.com/akmalkhaniub/django-payroll-engine`](https://github.com/akmalkhaniub/django-payroll-engine) - **Architectural Role:** Scale-Tested Financial Engine (Django, Celery, Redis, ACID) - **Overview:** A high-throughput asynchronous payroll computation engine engineered to process enterprise salary calculations, tax deductions, and dynamic payslip PDF exports without database deadlocks or floating-point errors. - **Key Technical Details:** - Offloaded CPU-bound ReportLab PDF rendering to asynchronous multi-process Celery workers. - Guaranteed financial precision utilizing Python's Decimal type, eliminating IEEE floating-point errors. - Strict ACID transactional integrity via @transaction.atomic with row locking preventing concurrent double-disbursements. - **Tech Stack:** Python 3.11, Django, Celery, Redis, MySQL / PostgreSQL, ReportLab, Docker - **CV Bullet Point:** > *"Engineered a high-throughput asynchronous payroll computation engine (Django, Celery, Redis) processing 10,000+ payslip batches concurrently with Python Decimal precision and @transaction.atomic database isolation."* --- ### 36. ScholarAssist Data Pipeline - **Repository:** [`github.com/akmalkhaniub/scholarassist`](https://github.com/akmalkhaniub/scholarassist) - **Architectural Role:** Academic Dataset Ingestion, Spark Deduplication & Airflow DAGs - **Overview:** An end-to-end academic dataset ingestion and deduplication pipeline (FastAPI, Apache Spark, Airflow DAGs, Docker Compose) delivering normalized semantic indexing and low-latency search APIs. - **Key Technical Details:** - Apache Spark batch ETL jobs for large-scale document deduplication and author disambiguation. - Apache Airflow DAGs coordinating automated scraping, chunking, and embedding generation. - FastAPI serving semantic similarity queries and BibTeX reference export endpoints. - **Tech Stack:** Python, Apache Spark, Apache Airflow, FastAPI, PostgreSQL, Pydantic, Docker Compose - **CV Bullet Point:** > *"Architected an end-to-end academic dataset ingestion pipeline (FastAPI, Apache Spark, Airflow) normalizing millions of scientific publications into clean semantic indices for grounded RAG research assistants."* --- ## πŸ›‘οΈ Section 5: The 17 Specialized Agentic Microservices (`AgenticApps` Monorepo) ### 37. Fintech Fraud Mitigator - **Repository:** [`github.com/akmalkhaniub/fintech-fraud-mitigator`](https://github.com/akmalkhaniub/fintech-fraud-mitigator) - **Architectural Role:** Real-Time Transaction Risk Engine & Kafka Stream Processor - **Overview:** A high-velocity transaction risk scoring engine in Go consuming Apache Kafka streams to evaluate velocity heuristics and trigger automated freeze protocols. - **Key Technical Details:** - Stream processing consuming 10,000+ transactions per second with sub-10ms scoring latency. - Configurable risk matrix flagging rapid geographic transitions and high-frequency velocity anomalies. - Automated step-up 2FA and outbound verification webhooks. - **Tech Stack:** Go (Golang), Apache Kafka, Redis, Webhooks, Docker - **CV Bullet Point:** > *"Engineered a real-time fintech fraud scoring engine in Go consuming Apache Kafka streams to evaluate transaction velocity and trigger automated freeze protocols."* --- ### 38. Cloud Security Sentinel - **Repository:** [`github.com/akmalkhaniub/cloud-security-sentinel`](https://github.com/akmalkhaniub/cloud-security-sentinel) - **Architectural Role:** Autonomous AWS Infrastructure & IAM Policy Auditor - **Overview:** A proactive cloud security agent built in Rust that continuously monitors AWS infrastructure, detects IAM misconfigurations, simulates privilege escalation paths, and generates remediation scripts. - **Key Technical Details:** - Continuous AWS CloudTrail and IAM policy graph analysis in Rust using Tokio. - Simulates privilege escalation vectors and unauthorized cross-account role assumptions. - Automated synthesis of least-privilege Terraform remediation patches. - **Tech Stack:** Rust, AWS SDK, Tokio, Serde, Terraform - **CV Bullet Point:** > *"Developed an autonomous cloud infrastructure auditor in Rust, continuously analyzing AWS IAM policies and simulating exploitability vectors to prevent privilege escalation."* --- ### 39. Compliance & PII Sanitizer - **Repository:** [`github.com/akmalkhaniub/compliance-pii-sanitizer`](https://github.com/akmalkhaniub/compliance-pii-sanitizer) - **Architectural Role:** Privacy-Preserving Proxy Firewall for LLM Requests - **Overview:** A low-latency security firewall positioned between raw enterprise databases and LLM APIs that detects Personally Identifiable Information (PII, SSNs, credit cards), redacts sensitive tokens, and enforces data residency policies. - **Key Technical Details:** - Deterministic and contextual NER PII detection with Microsoft Presidio. - Token hashing enabling re-identification upon authorized response receipt. - Enforces strict data sovereignty and residency rules before upstream prompt transmission. - **Tech Stack:** Python, Microsoft Presidio, FastAPI, Regex, Redis - **CV Bullet Point:** > *"Built a low-latency PII sanitization proxy masking sensitive tokens (SSNs, medical records, credentials) before prompt dispatch to external cloud LLMs."* --- ### 40. Model Router Sentinel & Budget Guard - **Repository:** [`github.com/akmalkhaniub/model-router-sentinel`](https://github.com/akmalkhaniub/model-router-sentinel) - **Architectural Role:** Dynamic Prompt Classifier & Semantic Cache Proxy - **Overview:** A cost-aware proxy that classifies incoming prompt complexity, checks a semantic Redis cache for previous responses, routes queries to the most cost-effective model tier, and enforces departmental budgets. - **Key Technical Details:** - Semantic similarity cache matching incoming queries against past responses to bypass LLM inference. - Heuristic complexity classifier routing simple queries to Gemini Flash and complex tasks to Claude 3.5 Sonnet. - Slashed total organizational token spend by 45% with zero degradation in perceived response quality. - **Tech Stack:** Python, FastAPI, Redis (Semantic Caching), LiteLLM, Pydantic - **CV Bullet Point:** > *"Created an intelligent LLM router classifying prompt complexity and utilizing semantic caching to route queries dynamically, slashing overall API token costs by 45%."* --- ### 41. Feature Shippable Agent - **Repository:** [`github.com/akmalkhaniub/feature-shippable-agent`](https://github.com/akmalkhaniub/feature-shippable-agent) - **Architectural Role:** Autonomous Coding Agent Operating in Isolated E2B Sandboxes - **Overview:** An autonomous coding agent that accepts feature specifications, executes code modifications within isolated E2B microVM sandboxes, runs unit test suites, and opens verified pull requests on GitHub. - **Key Technical Details:** - Executes complete coding workflows inside isolated, disposable E2B microVM environments. - Autonomous feedback loop: runs tests, reads stderr traces, and iterates on fixes before publishing. - Automates GitHub PR generation complete with testing summaries and diff analysis. - **Tech Stack:** TypeScript, Node.js, E2B Code Interpreter, Octokit, Claude 3.5 Sonnet - **CV Bullet Point:** > *"Built an autonomous coding agent operating in E2B microVMs that writes feature implementations, executes test suites in sandbox isolation, and submits verified PRs."* --- ### 42. LLM Benchmark & Hallucination Evaluator - **Repository:** [`github.com/akmalkhaniub/llm-benchmark-evaluator`](https://github.com/akmalkhaniub/llm-benchmark-evaluator) - **Architectural Role:** Automated Hallucination & Factuality Verification Framework - **Overview:** A specialized evaluation framework measuring model response relevance, hallucination index, toxicity, latency, and token efficiency against ground-truth datasets. - **Key Technical Details:** - Automated scoring against ground-truth question-answering evaluation datasets. - Computes G-Eval, toxicity, and contextual faithfulness scores. - Generates comprehensive regression reports across model version updates. - **Tech Stack:** Python, LangSmith, DeepEval, Pytest, Pandas - **CV Bullet Point:** > *"Implemented an automated LLM evaluation harness benchmarking hallucination rates, semantic drift, and latency percentiles across frontier models."* --- ### 43. Medical Intake Voice Nurse - **Repository:** [`github.com/akmalkhaniub/medical-intake-nurse`](https://github.com/akmalkhaniub/medical-intake-nurse) - **Architectural Role:** HIPAA-Compliant Conversational Voice Triage Agent - **Overview:** An automated voice agent handling inbound patient calls, conducting structured symptom triage against clinical protocols, and scheduling appointments with on-call physicians. - **Key Technical Details:** - Low-latency speech-to-speech interaction via Twilio Voice and OpenAI Whisper. - Structured clinical protocol decision tree identifying urgent emergency conditions. - Autonomous appointment booking into clinic EHR scheduling backends. - **Tech Stack:** Python, WebRTC, Twilio Voice API, Whisper, Claude 3.5, PostgreSQL - **CV Bullet Point:** > *"Engineered an automated voice triage agent handling inbound patient inquiries and scheduling clinic appointments following strict clinical triage protocols."* --- ### 44. Autonomous DevRel Agent - **Repository:** [`github.com/akmalkhaniub/autonomous-devrel-agent`](https://github.com/akmalkhaniub/autonomous-devrel-agent) - **Architectural Role:** Developer Community Support & Documentation Synthesizer - **Overview:** An agent that monitors technical developer community channels, answers engineering questions using RAG over source repositories, and drafts missing documentation pages when recurring knowledge gaps are detected. - **Key Technical Details:** - Ingests codebase ASTs and markdown docs to provide verified code solutions in Discord/Slack. - Clusters unaddressed community questions to identify documentation deficiencies. - Drafts complete pull requests for missing tutorial guides and API references. - **Tech Stack:** TypeScript, Discord/Slack APIs, Vector DB, Next.js, Octokit - **CV Bullet Point:** > *"Deployed an autonomous developer advocacy agent parsing GitHub issues and Discord inquiries to generate grounded RAG solutions and draft missing technical documentation."* --- ### 45. Agentic Customer Support - **Repository:** [`github.com/akmalkhaniub/agentic-customer-support`](https://github.com/akmalkhaniub/agentic-customer-support) - **Architectural Role:** Action-Oriented Customer Resolution Agent - **Overview:** An action-oriented support agent that doesn't just converseβ€”it actively resolves customer tickets by querying order databases, initiating refunds, and adjusting shipping parameters within authorized policy bounds. - **Key Technical Details:** - Integrates external database query tools for live customer order lookup. - Strict policy guardrails enforcing monetary refund limits with automated supervisor escalation. - Multi-turn context retention across email, chat, and CRM ticketing systems. - **Tech Stack:** Python, LangChain, FastAPI, PostgreSQL, Stripe API - **CV Bullet Point:** > *"Built an autonomous customer resolution agent executing transactional operations (refunds, order modifications) within strict financial bounds."* --- ### 46. Real Estate Virtual Showings Coordinator - **Repository:** [`github.com/akmalkhaniub/real-estate-coordinator`](https://github.com/akmalkhaniub/real-estate-coordinator) - **Architectural Role:** Outbound Lead Qualification & Showing Scheduler - **Overview:** An outbound conversational agent built in TypeScript that qualifies real estate buyer leads, answers complex property inquiries using RAG over listing brochures, and books in-person showings. - **Key Technical Details:** - RAG over MLS listings and architectural floorplans for accurate square footage and HOA answers. - Two-way calendar synchronization with agent Google/Outlook calendars. - Automated SMS reminder sequences minimizing showing no-shows. - **Tech Stack:** TypeScript, Node.js, Twilio SMS/Voice, OpenAI API, PostgreSQL - **CV Bullet Point:** > *"Engineered an outbound conversational real estate coordinator qualifying buyer leads via RAG over property brochures and scheduling calendar showings."* --- ### 47. Service Dispatch Coordinator - **Repository:** [`github.com/akmalkhaniub/service-dispatch-coordinator`](https://github.com/akmalkhaniub/service-dispatch-coordinator) - **Architectural Role:** Autonomous Voice Dispatcher for Home Services - **Overview:** An autonomous voice dispatcher for home emergency services (plumbing, electrical, HVAC) that receives emergency calls, extracts problem severity, identifies the nearest technician via geo-routing, and dispatches appointments. - **Key Technical Details:** - Real-time voice transcription and emergency severity grading. - Geo-distance routing matching technicians based on live GPS location and specialized tool inventory. - Automated technician dispatch confirmation via SMS. - **Tech Stack:** Python, FastAPI, Twilio, PostGIS, Google Maps API - **CV Bullet Point:** > *"Developed an autonomous emergency service dispatcher utilizing geo-spatial routing to match and dispatch emergency calls to field technicians."* --- ### 48. Travel Concierge Agent - **Repository:** [`github.com/akmalkhaniub/travel-concierge-agent`](https://github.com/akmalkhaniub/travel-concierge-agent) - **Architectural Role:** Consumer Voice Concierge Navigating Airline & Hotel IVRs - **Overview:** A voice concierge agent that calls airline or hotel customer service on behalf of users, navigates complex IVR phone menus, waits on hold, and bridges the user only when a live human agent is reached. - **Key Technical Details:** - DTMF tone generation navigating multi-tier automated IVR phone trees. - Hold-music and voice activity detection determining when a human representative answers. - Seamless live three-way WebRTC bridging connecting the user. - **Tech Stack:** Python, Twilio Voice, WebRTC, Audio Classification, FastAPI - **CV Bullet Point:** > *"Architected a consumer voice concierge agent navigating automated IVR trees and hold queues, bridging the user only upon human agent connection."* --- ### 49. Scientific Research Sandbox - **Repository:** [`github.com/akmalkhaniub/scientific-research-sandbox`](https://github.com/akmalkhaniub/scientific-research-sandbox) - **Architectural Role:** Autonomous Statistical Analysis & Paper Extraction Agent - **Overview:** An autonomous research assistant that ingests messy academic papers and tabular datasets, extracts metrics, writes Python analysis scripts, executes them in isolated sandboxes, and compiles charts. - **Key Technical Details:** - Extracts tabular data from scientific PDFs into normalized Pandas dataframes. - Generates and runs statistical hypothesis tests and regression models inside isolated containers. - Automates generation of publication-ready Seaborn and Matplotlib visualization artifacts. - **Tech Stack:** Python, Docker Sandbox, Pandas, SciPy, Matplotlib, Claude 3.5 - **CV Bullet Point:** > *"Built an autonomous research sandbox ingesting messy scientific publications, executing statistical hypothesis testing in Docker isolation, and generating visualization figures."* --- ### 50. Revenue Recovery Auditor - **Repository:** [`github.com/akmalkhaniub/revenue-recovery-auditor`](https://github.com/akmalkhaniub/revenue-recovery-auditor) - **Architectural Role:** Stripe Webhook Auditor & Autonomous Dunning Workflow in Go - **Overview:** A multi-agent revenue recovery engine built in Go that monitors Stripe webhooks for failed subscription charges, analyzes user engagement metrics, and executes intelligent dunning workflows. - **Key Technical Details:** - High-throughput webhook listener processing Stripe payment failure events in Go. - Predictive dunning schedule optimization maximizing payment recovery rates. - Recovered over 18% of churned MRR through automated intelligent retry routing. - **Tech Stack:** Go (Golang), Stripe API, PostgreSQL, SendGrid API, Docker - **CV Bullet Point:** > *"Engineered a revenue recovery engine in Go monitoring Stripe billing webhooks and orchestrating predictive dunning sequences, recovering 18% of failed subscription revenue."* --- ### 51. Multi-Agent Debate Engine - **Repository:** [`github.com/akmalkhaniub/agentic-apps-portfolio`](https://github.com/akmalkhaniub/agentic-apps-portfolio) - **Architectural Role:** Adversarial Consensus & Bias Elimination Framework - **Overview:** A multi-agent consensus system where two or more specialized agent personas debate complex dilemmas from opposing perspectives before an impartial judge agent synthesizes a balanced verdict. - **Key Technical Details:** - Multi-turn dialectical debate protocol eliminating single-model cognitive bias. - Formal scoring rubrics evaluating factual consistency, logical fallacies, and empirical evidence. - Demonstrated 22% improvement in factual accuracy on ambiguous policy evaluations. - **Tech Stack:** Python, LangGraph, LiteLLM, Pydantic, FastAPI - **CV Bullet Point:** > *"Designed a multi-agent debate framework deploying adversarial personas to stress-test complex strategic hypotheses, improving final synthesis accuracy by 22%."* --- ### 52. Multimodal QA Agent - **Repository:** [`github.com/akmalkhaniub/multimodal-qa-agent`](https://github.com/akmalkhaniub/multimodal-qa-agent) - **Architectural Role:** Playwright Visual Inspector & Design System Auditor - **Overview:** An autonomous visual testing agent crawling web applications using Playwright, sending rendered viewports to vision LLMs to audit alignment against brand guidelines and accessibility standards. - **Key Technical Details:** - Automated WCAG 2.1 contrast ratio and font sizing accessibility auditing. - Flags visual misalignment across mobile, tablet, and ultra-wide viewports. - Generates CSS patch recommendations directly from vision model inspections. - **Tech Stack:** TypeScript, Playwright, Claude 3.7 Vision, OpenCV, Node.js - **CV Bullet Point:** > *"Implemented an autonomous visual QA agent crawling web applications with Playwright and evaluating layout accessibility and design compliance using Claude Vision."* --- ### 53. Enterprise Knowledge Swarm - **Repository:** [`github.com/akmalkhaniub/agentic-apps-portfolio`](https://github.com/akmalkhaniub/agentic-apps-portfolio) - **Architectural Role:** Hierarchical Multi-Agent Knowledge Retrieval Swarm - **Overview:** A hierarchical swarm of specialized retrieval agents querying disparate enterprise knowledge stores (Confluence, Notion, Google Drive, Jira) and synthesizing a unified response. - **Key Technical Details:** - Deconstructs broad enterprise queries into sub-queries delegated to domain-specific connectors. - Reciprocal Rank Fusion (RRF) reranking across disparate vector indexes and keyword engines. - Enforces source-level document permissions before response synthesis. - **Tech Stack:** Python, CrewAI, Qdrant, FastAPI, Pydantic - **CV Bullet Point:** > *"Engineered a hierarchical knowledge retrieval swarm coordinating specialized agents across enterprise documentation silos with Reciprocal Rank Fusion reranking."* --- ## πŸ₯ Section 6: Domain AI, HealthTech, Web & Mobile Applications ### 54. MedEdge: Hybrid Clinical Assistant - **Repository:** [`github.com/akmalkhaniub/MedEdge`](https://github.com/akmalkhaniub/MedEdge) - **Architectural Role:** Local-First Clinical Intelligence with Offline Gemma & 2G SMS Bridge - **Overview:** A cross-platform, local-first clinical decision assistant designed for resource-constrained clinics. Operates offline with local Gemma models via Ollama or online with cloud Gemini models, featuring a 2G SMS bridge. - **Key Technical Details:** - Dynamic local-to-cloud inference switching: runs offline via Ollama (Gemma) with cloud failover to Gemini. - Consultation pipeline: transcription -> SOAP clinical note formatting -> triage draft. - 2G SMS fallback bridge via Africa's Talking API for messaging feature-phone patients in remote regions. - **Tech Stack:** Python, FastAPI, React Native, Ollama (Gemma), Google Gemini API, Africa's Talking SMS API - **CV Bullet Point:** > *"Built MedEdge, a local-first clinical assistant operating offline via Ollama (Gemma) with cloud failover to Gemini Pro for resource-constrained clinics, integrated with a 2G SMS fallback bridge for feature phones."* --- ### 55. Secure Healthcare Audit Vault - **Repository:** [`github.com/akmalkhaniub/healthcare-audit-vault`](https://github.com/akmalkhaniub/healthcare-audit-vault) - **Architectural Role:** HIPAA-Hardened Patient Record Vault with pgvector & Immutable Logs - **Overview:** A high-security, HIPAA-compliant patient record repository featuring document QA search using vector embeddings, role-based access control (RBAC), and database-level immutable audit logging. - **Key Technical Details:** - Vector search RAG using pgvector inside PostgreSQL with HNSW index optimization. - Database-level immutable audit logging enforced via PostgreSQL triggers to prevent tampering. - Temporary AWS S3 pre-signed URLs guaranteeing zero direct-link document exposure. - **Tech Stack:** Next.js, Node.js, TypeScript, PostgreSQL (pgvector), AWS S3 Pre-Signed URLs, Tailwind CSS, Docker - **CV Bullet Point:** > *"Architected a HIPAA-compliant healthcare document vault featuring pgvector semantic Q&A, immutable PostgreSQL audit triggers, and temporary AWS S3 signed URLs guaranteeing zero unauthorized data exposure."* --- ### 56. AI Care Agency Rota Manager - **Repository:** [`github.com/akmalkhaniub/portfolio-ai-rota-manager`](https://github.com/akmalkhaniub/portfolio-ai-rota-manager) - **Architectural Role:** Natural Language Shift Scheduling with OpenAI Tool Use - **Overview:** An AI-powered care scheduling platform that enables agency coordinators to manage shifts and enforce labor compliance using natural language prompts, offloading validation to an agentic tool loop. - **Key Technical Details:** - OpenAI function calling translating natural language staffing directives into optimal shift assignments. - Real-time certification verification and automatic double-booking prevention enforced via PostgreSQL constraints. - Containerized multi-service deployment with Next.js UI, Express API, and PostgreSQL. - **Tech Stack:** Next.js, Node.js, TypeScript, Express, PostgreSQL, OpenAI Function Calling, Docker - **CV Bullet Point:** > *"Developed an AI shift scheduling platform for care agencies translating natural language requests into compliant staffing rosters via OpenAI tool use, preventing double-bookings and certification lapses."* --- ### 57. Socrates: Hybrid Socratic Tutor - **Repository:** [`github.com/akmalkhaniub/socrates`](https://github.com/akmalkhaniub/socrates) - **Architectural Role:** Guided Socratic Dialogue Platform (Google Gemma Hackathon) - **Overview:** An AI-driven educational platform designed for the Google Gemma 4 Good Hackathon, bridging the gap between personalized tutoring and resource-constrained environments by running local Gemma models on edge devices. - **Key Technical Details:** - On-device guided Socratic dialogue using Ollama and Gemma. - Hybrid edge-to-cloud architecture supporting offline rural school classrooms. - Admin telemetry panel tracking student mastery curves. - **Tech Stack:** React Native, FastAPI, Ollama, Google Gemma, WebSockets - **CV Bullet Point:** > *"Engineered Socrates, an educational platform conducting guided Socratic dialogues on edge devices using local Gemma models, built for the Google Gemma Hackathon to support resource-constrained classrooms."* --- ## πŸ“± Section 6 Continued: Full-Stack Web, Gaming & Mobile Platforms ### 58. Studio OS: AI Film Operating System - **Repository:** [`github.com/akmalkhaniub/AK_Productions`](https://github.com/akmalkhaniub/AK_Productions) - **Architectural Role:** Next.js 16, FastAPI & Gemini 2.5 Pro Vision 7-Agent Network - **Overview:** An AI-powered film studio operating system and multi-agent network automating video ingestion, screenplay analysis, casting performance, and auto-dubbing translation. - **Key Technical Details:** - 7 specialized agents coordinating video ingestion, pre-production breakdown, and continuous takes analysis. - Audition analysis evaluating pitch, tempo, and emotional intensity using Gemini 2.5 Pro Vision. - Unified backend API Gateway (FastAPI) serving a Next.js web panel and an Expo mobile app. - **Tech Stack:** Next.js 16, React, FastAPI, Expo / React Native, Gemini 2.5 Pro Vision, PostgreSQL, Docker - **CV Bullet Point:** > *"Architected Studio OS, an AI film production platform coordinating 7 specialized agents to automate screenplay breakdown and audition analysis using Gemini 2.5 Pro Vision."* --- ### 59. RangMaster & RangMasterPro - **Repository:** [`github.com/akmalkhaniub/RangMasterPro`](https://github.com/akmalkhaniub/RangMasterPro) - **Architectural Role:** Real-Time Multiplayer Game & Media Synchronization Platform - **Overview:** A production real-time multiplayer card gaming platform powered by Node.js, Express, WebSockets, React, Zustand, and Neon PostgreSQL, packaged for native iOS and Android via Capacitor. - **Key Technical Details:** - Authoritative game server handling concurrent trick resolution and turn timers over WebSockets (<50ms latency). - State management with Zustand and optimistic UI rendering. - Cross-platform distribution across Web, iOS, and Android via Capacitor. - **Tech Stack:** Node.js, Express, WebSockets, React, Zustand, Drizzle ORM, Neon PostgreSQL, Capacitor - **CV Bullet Point:** > *"Engineered a real-time multiplayer card gaming platform supporting sub-50ms game state synchronization over WebSockets, packaged for native iOS and Android via Capacitor."* --- ### 60. CardGames Web Platform - **Repository:** [`github.com/akmalkhaniub/CardGames`](https://github.com/akmalkhaniub/CardGames) - **Architectural Role:** Dockerized Full-Stack Card Gaming Engine - **Overview:** A containerized web application platform delivering multiplayer card game rule engines, player matchmaking, and responsive frontend canvas components. - **Key Technical Details:** - Complete rule validation for trick-taking multiplayer card games. - Reverse-proxied with Nginx and containerized with Docker. - Low-latency state broadcasting to active browser sessions. - **Tech Stack:** Node.js, React, Docker, Nginx, PostgreSQL - **CV Bullet Point:** > *"Delivered a Dockerized card game platform with Nginx reverse proxying and WebSocket state management."* --- ### 61. LudoMaster Board Game - **Repository:** [`github.com/akmalkhaniub/LudoMaster`](https://github.com/akmalkhaniub/LudoMaster) - **Architectural Role:** Deterministic Game Physics & Board Logic Engine in Python - **Overview:** A classic multiplayer Ludo board game implementing complete rules, piece collision logic, safe squares, and AI bot opponents. - **Key Technical Details:** - Deterministic collision detection and board coordinate mappings. - Heuristic AI bot opponents simulating strategic token movements. - Built with Pygame showcasing low-level event loops and graphics rendering. - **Tech Stack:** Python, Pygame - **CV Bullet Point:** > *"Implemented a classic multiplayer board game engine in Python with deterministic piece collision rules and bot logic."* --- ### 62. Cross-Platform Mobile Quiz Application - **Repository:** [`github.com/akmalkhaniub/quiz-app`](https://github.com/akmalkhaniub/quiz-app) - **Architectural Role:** React Native, Expo, NativeWind, Prisma & Supabase - **Overview:** A modern cross-platform mobile quiz application built using React Native, Expo, TypeScript, TailwindCSS (NativeWind), Prisma, and Supabase. - **Key Technical Details:** - NativeWind mobile styling with fluid animations and responsive mobile layouts. - Offline question caching and background synchronization with Supabase. - Comprehensive mobile test coverage using Jest and React Native Testing Library. - **Tech Stack:** React Native, Expo Router, TypeScript, NativeWind, Prisma, Supabase, Jest - **CV Bullet Point:** > *"Shipped a cross-platform mobile quiz app using React Native, Expo, and NativeWind with Supabase synchronization, upholding strict mobile UI test coverage."* --- ### 63. AgenticLife (FootprintOS) - **Repository:** [`github.com/akmalkhaniub/agenticlife`](https://github.com/akmalkhaniub/agenticlife) - **Architectural Role:** Digital Footprint Growth Platform & Personal CRM - **Overview:** A private, single-user digital footprint growth platform acting as an intelligent personal CRM, PR outreach tracker, conference networking workspace, and product launch planner. - **Key Technical Details:** - Next.js App Router with Server Components and PostgreSQL database adapter (@prisma/adapter-pg). - Automated touchpoint tracking and interaction graph visualization. - Tailwind CSS responsive design with dark mode support. - **Tech Stack:** Next.js (App Router), React, TypeScript, Prisma ORM, PostgreSQL, Tailwind CSS - **CV Bullet Point:** > *"Engineered FootprintOS (Next.js, Prisma, PostgreSQL), a personal CRM and PR automation tool tracking technical outreach, conference touchpoints, and product launches."* --- ## πŸ”¬ Section 7: Architecture Showcases, Specialized Agents & Suites ### 64. Azure Enterprise Cloud Suite (.NET 8 & Kafka) - **Repository:** [`github.com/akmalkhaniub/azure-enterprise-suite`](https://github.com/akmalkhaniub/azure-enterprise-suite) - **Architectural Role:** Distributed Microservices, Serverless Pipelines & Enterprise RAG - **Overview:** A complete enterprise cloud suite demonstrating distributed microservices, event-driven serverless architectures, and generative AI copilot systems built with C# (.NET 8), Apache Kafka, AKS, and Azure Cloud. - **Key Technical Details:** - Cloud-native logistics microservices with Kafka event streaming, CQRS, MediatR, and YARP API Gateway. - Event-driven serverless document processing using Azure Functions (.NET 8 Isolated Worker), Cosmos DB, and SignalR. - Enterprise RAG system built with Microsoft Semantic Kernel and Azure OpenAI. - **Tech Stack:** C# (.NET 8), Apache Kafka, Azure Kubernetes Service (AKS), YARP, Azure Functions, Cosmos DB, Semantic Kernel, Bicep - **CV Bullet Point:** > *"Delivered the Azure Enterprise Cloud Suite featuring .NET 8 event-driven microservices on Kafka/AKS, serverless Azure Functions pipelines, and enterprise RAG with Microsoft Semantic Kernel."* --- ### 65. VentureDive Lead Architect Portfolio - **Repository:** [`github.com/akmalkhaniub/venturedive-architect-portfolio`](https://github.com/akmalkhaniub/venturedive-architect-portfolio) - **Architectural Role:** Agentic Lakehouse, Streaming Anomaly & DataOps RAG - **Overview:** Enterprise-grade AI & Data Architecture showcase projects demonstrating production Agentic Lakehouses, Real-time Streaming Anomaly Detection, and DataOps RAG pipelines. - **Key Technical Details:** - Agentic Lakehouse combining Medallion Delta Lake architecture with autonomous data quality agents. - Real-time streaming anomaly detection engine built with Apache Kafka and Flink. - DataOps RAG pipeline establishing automated data ingestion, validation, and evaluation tracking. - **Tech Stack:** Apache Spark, Apache Kafka, Apache Flink, Delta Lake, Python, FastAPI, Docker - **CV Bullet Point:** > *"Authored enterprise architecture blueprints for Agentic Lakehouses and streaming anomaly detection engines handling high-volume real-time events across distributed data pipelines."* --- ### 66. Kaggle Competition Master - **Repository:** [`github.com/akmalkhaniub/kaggle-competition-master`](https://github.com/akmalkhaniub/kaggle-competition-master) - **Architectural Role:** ML Competition Pipeline & Deep Stacking Workbench - **Overview:** A machine learning competition engineering workbench with automated feature engineering, Bayesian hyperparameter optimization, and multi-model ensembling. - **Key Technical Details:** - Automated stacking combining LightGBM, XGBoost, and PyTorch deep neural networks. - Optuna Bayesian hyperparameter optimization tracking cross-validation scores. - Feature importance and error analysis dashboards. - **Tech Stack:** Python, PyTorch, LightGBM, XGBoost, Optuna, Scikit-Learn, Pandas - **CV Bullet Point:** > *"Built an automated ML competition pipeline featuring Bayesian hyperparameter optimization (Optuna) and multi-model neural network stacking across tabular and multimodal datasets."* --- ### 67. Python Interview Prep Suite - **Repository:** [`github.com/akmalkhaniub/python-interview-prep-suite`](https://github.com/akmalkhaniub/python-interview-prep-suite) - **Architectural Role:** 16-Notebook Systems Engineering & Cloud Architecture Guide - **Overview:** A comprehensive 16-notebook technical suite covering advanced Python paradigms, concurrency models, distributed algorithms, memory management, and cross-cloud architectural mappings. - **Key Technical Details:** - Exhaustive coverage of OOD principles, concurrency patterns, and distributed algorithms. - Comparative technical mappings of architectural primitives across AWS, GCP, and Azure. - Memory optimization and low-level performance-tuning strategies for core Python architectures. - **Tech Stack:** Python, Jupyter Notebooks, Cloud Architecture, Distributed Algorithms - **CV Bullet Point:** > *"Authored a 16-notebook engineering suite covering system design patterns, distributed concurrency models, and comparative AWS/GCP/Azure cloud architecture mappings."* --- ### 68. Object-Oriented Design Patterns Lab - **Repository:** [`github.com/akmalkhaniub/OOD-Mastery`](https://github.com/akmalkhaniub/OOD-Mastery) - **Architectural Role:** Clean Architecture & Design Smell Refactoring Laboratories - **Overview:** Code laboratories demonstrating GoF design patterns (Creational, Structural, Behavioral), clean architecture principles, and refactorings of common architectural smells. - **Key Technical Details:** - Comprehensive student packs and labs covering SOLID principles and system design. - Refactoring case studies transforming legacy antipatterns into clean decoupled architectures. - Complete UML diagrams and reference implementations across Python and TypeScript. - **Tech Stack:** Python, TypeScript, UML, Clean Architecture, Design Patterns - **CV Bullet Point:** > *"Developed clean code laboratories demonstrating GoF design patterns, SOLID principles, and architectural refactoring strategies."* --- ### 69. BlogAgent: Autonomous Content Creation - **Repository:** [`github.com/akmalkhaniub/blogagent`](https://github.com/akmalkhaniub/blogagent) - **Architectural Role:** Autonomous SEO & Content Generation Agent - **Overview:** An autonomous AI-powered content creation system designed to automate technical blog post generation, SEO keyword research, knowledge retrieval, and audio asset synthesis. - **Key Technical Details:** - Autonomous SEO keyword clustering and search intent analysis. - Grounded technical drafting utilizing codebase RAG context. - Automated text-to-speech audio synthesis for accessible audio articles. - **Tech Stack:** Python, FastAPI, OpenAI API, TTS Audio Models, Markdown Ingestion - **CV Bullet Point:** > *"Created BlogAgent, an autonomous content generation agent performing SEO research, RAG-grounded drafting, and automated audio synthesis."* --- ### 70. YouTube Topic Intelligence Agent - **Repository:** [`github.com/akmalkhaniub/youtube_DisoverAI`](https://github.com/akmalkhaniub/youtube_DisoverAI) - **Architectural Role:** Automated Video Search, Transcript Ingestion & Topic Intelligence - **Overview:** An automated video intelligence agent performing daily targeted YouTube searches, extracting closed captions, and generating executive summaries of emerging AI research topics. - **Key Technical Details:** - Scheduled daily search and video discovery across designated AI research topics. - Automated transcript extraction and token-efficient summarization. - Generates daily digest newsletters and trend alerts. - **Tech Stack:** Python, YouTube Data API, YouTube Transcript API, Docker, Claude API - **CV Bullet Point:** > *"Built an automated video intelligence agent extracting and analyzing YouTube transcripts to synthesize executive trend reports on emerging AI research."* --- ## 🎯 CV Update Strategy & Placement Guide ### Recommended Placement for Different Senior Job Roles: #### 1. Targeting **Real-Time Voice AI / Speech Systems Engineer**: - **Headline Projects:** **VoicePilot AI**, **CallPulse**, **VoiceEval**, **Telephony Bridge Go**, **Audio DSP Rs** - **Emphasize:** Sub-300ms roundtrip audio latency, Silero VAD v5 ONNX barge-in cutoff (<20ms), carrier-grade SIP/RTP media gateways in Go, and 232M samples/s zero-allocation DSP in Rust. #### 2. Targeting **Staff / Principal AI Engineer / AI Architect**: - **Headline Projects:** **VoicePilot AI**, **Agent Fleet Orchestrator**, **Ops MCP Suite**, **SpecForge**, **Enterprise Cloud-Native API Gateway** - **Emphasize:** Real-time multimodal streaming, multi-agent DAG orchestration, FastMCP / Model Context Protocol tooling, closed-loop AST verification, and prompt FinOps cost reductions (38–45%). #### 3. Targeting **Senior Backend / Distributed Systems Engineer (Go / Rust / Python)**: - **Headline Projects:** **ApexLedger**, **Telephony Bridge Go**, **Audio DSP Rs**, **Enterprise Cloud-Native API Gateway Platform**, **Go High-Concurrency Reverse Proxy**, **LogPulse-rs** - **Emphasize:** Double-entry ledger invariants, zero-allocation memory pooling (`sync.Pool`), SIMD DSP processing, LuaJIT crypto validation, and sub-millisecond tail latencies. --- *Master report updated on September 10, 2026. Maintained by Akmal Khan, PhD.*