Building the Future of AI-Powered Platforms & Agentic Systems
Hi, I'm Akmal Khan. I am a Senior Full Stack AI Engineer and systems architect with 20+ years of software engineering experience, including 3+ years dedicated to architecting and shipping production AI platforms. I engineer end-to-end intelligent systems across the full stack—from TypeScript/React, Next.js, and React Native applications to high-throughput Node.js (Hono, Express) and Python backends (FastAPI, Django). I own every layer of production AI: multi-agent autonomous workflows (LangGraph, CrewAI, MCP), Claude/OpenAI tool use and streaming pipelines, pgvector semantic search, and resilient distributed asynchronous job processing (Redis, BullMQ, Celery, Kafka).
Core Focus
About Me
I focus on building production-grade, scale-tested, and secure AI-powered platforms. My experience covers full-stack web and mobile architectures, distributed systems, and integration of Large Language Models (LLMs) into autonomous workflows using tools like LangGraph, CrewAI, LlamaIndex, and custom Model Context Protocol (MCP) servers.
I treat AI pipelines as engineered systems: instrumenting token economics, latency, and extraction accuracy. Whether it's implementing ACID transactions to prevent financial data corruption, scaling background jobs using Redis and BullMQ, or designing pgvector embeddings for RAG searches, I ensure that design choices prioritize correctness, performance, and security.
Core Principles
AI & RAG Engineering
Expertise in Claude API, tool use/function calling, pgvector indexing, and hybrid search RAG evals.
Robust Async Systems
Designing decoupled background processing with Redis, BullMQ, and Celery job queues.
Security & Observability
Enforcing strict RBAC, data isolation, automated regression test runs, and token cost dashboards.
Technical Stack
AI, LLM & RAG
- Claude API (Streaming/Tools)
- LangGraph & CrewAI Pipelines
- pgvector, Qdrant & Pinecone
- Hybrid Search & Reranking Evals
- LlamaIndex & LangChain
- Structured Prompt Engineering
Backend & Async
- Node.js (TypeScript, Hono, Express)
- Python (FastAPI, Django)
- Redis, BullMQ & Celery Queues
- Type-safe Streaming REST APIs
- mammoth & pdfplumber Ingestion
- Event-Driven (SNS, SQS, Kafka)
Frontend & Mobile
- React & Next.js (App Router)
- TypeScript (Strict Mode)
- React Native (Cross-Platform)
- Complex State & Component Arch
- Accessible UI & Tailwind CSS
- Vitest, Jest & TDD Practices
DB, Cloud & DevOps
- PostgreSQL (JSONB, Index Tuning)
- AWS (ECS, Lambda, S3, Gateway)
- GCP (Cloud Run, GCS)
- MinIO & S3-Compatible Storage
- Docker & GitHub Actions CI/CD
- nginx, PM2, Logs & Alerting
Education & Certs
PhD in Computer Science
Seoul National University, South Korea · 2014
MS in Computer Engineering
CASE, Islamabad · 2008
Certifications
- LangChain & Vector DBs (Activeloop) · 2024
- GCP Professional Developer · 2024
- AWS Cloud Solutions Architect · 2023
- Deep Learning Specialization · 2022
Experience
Senior AI & Full Stack Engineer
Shipped AI platforms with Claude API, pgvector RAG, and async job queues for enterprise clients. Reduced LLM costs by 30-40%.
Senior Full Stack Engineer & Architect
Architected and delivered 10+ remote SaaS products across fintech, e-commerce, and workforce management.
Software Engineer & Lecturer
Developed university web systems and lectured in software engineering and machine learning at Islamia University of Bahawalpur.
Engineering a High-Throughput Async Payroll Engine with Celery & Django
How to design a scale-tested, transactionally secure payroll engine that solves float inaccuracies, database deadlocks, and CPU-bound worker bottlenecks using Django, Celery, and PostgreSQL.
Tech Blog
I write deep-dives on system design, AI orchestration, and database scaling.
Visit Writing HubFeatured Flagship Projects
Studio OS: AI Film Studio Operating System
An AI-powered film studio operating system and multi-agent network automating video ingestion, screenplay analysis, casting performance, and auto-dubbing translation.
- 7 specialized agents coordinate video ingestion, pre-production breakdown, and continuous takes analysis using Gemini 2.5 Pro vision.
- Offloads audition recording analysis (pitch, tempo, emotional tracking) to casting agents.
- Unified backend API Gateway (FastAPI) serving a Next.js web panel and an Expo mobile app.
SpecForge: AI Requirements Extraction
An enterprise AI requirements platform that parses PDF/DOCX PRDs into structured epics, user stories, and Gherkin acceptance criteria.
- Two-pass Claude 3.5 extraction pipeline with JSON schema validation.
- Semantic story deduplication via pgvector embeddings.
- Live token economics and cost-tracking dashboard.
Ops MCP Suite: Production Toolkit
A production-grade collection of 6 Model Context Protocol (MCP) servers (DevOps, MLOps, AgentOps, DB, GitHub, Secrets) served via a unified FastAPI gateway.
- Provides Supervisor networks with serverless database replication and evaluations.
- Containerized and deployable to Google Cloud Run.
Agent Fleet Orchestrator: Multi-Agent Supervisor
A distributed agent coordination engine implementing supervisor-worker topologies for dynamic task delegation, state checkpoints, and human-in-the-loop approvals.
- Hierarchical LangGraph state graph with persistent memory checkpoints.
- Asynchronous parallel task dispatching to distributed worker nodes.
- Real-time telemetry and execution trajectory audit logs.
LeaseLogic AI: Commercial Lease Extraction Engine
An AI-powered commercial real estate lease intelligence platform that extracts financial clauses, rent escalations, and termination liabilities from 100+ page contracts.
- Claude 3.5 Sonnet tool use and JSON schema enforcement for guaranteed tabular clause extraction.
- Hybrid dense vector + BM25 keyword search across multi-tenant pgvector indices for audit citation.
- Real-time financial calculation engine for Net Effective Rent and NPV modeling.
ClaimPilot: AI Insurance Claims Adjudication
An AI-driven claims triage and policy verification engine that automates first-notice-of-loss (FNOL) review, document verification, and fraud detection heuristics.
- Automated extraction of policy bounds, deductible schedules, and claim validation.
- Multi-modal damage evidence analysis and cross-verification against historical claims.
- Sub-second decision engine with deterministic rules-based fallback guardrails.
IntakeRx: Clinical Triage & EHR Automated Ingestion
A HIPAA-compliant clinical intake platform that converts unstructured patient voice interviews and handwritten forms into standardized FHIR/HL7 EHR records.
- Offline-capable React Native mobile client for decentralized clinic patient intake.
- Automated clinical SOAP note formatting with dual-pass safety and allergen conflict verification.
- Immutable database audit log triggers and AES-256 field-level encryption for PHI data.
MedEdge: Hybrid Clinical Assistant & 2G SMS
A cross-platform, local-first clinical decision assistant designed for resource-constrained clinics. Operates offline with Gemma via Ollama or online with cloud Gemini models.
- Consultation pipeline: transcription → SOAP Clinical Note formatting → Triage draft.
- 2G SMS fallback bridge via Africa's Talking API for messaging feature-phone patients.
- Admin web panel toggles local offline LLM providers and monitors local server health.
Secure Healthcare Audit Vault
A high-security, HIPAA-compliant patient record repository featuring document QA search using vector embeddings and PostgreSQL.
- Vector Search RAG using `pgvector` inside Postgres (with HNSW index optimization).
- Enforced database-level immutable audit logging through PG triggers to prevent tamper.
- Temporary AWS S3 Signed URLs for zero direct-link exposure.
High-Throughput Async Payroll Engine
A high-performance async payroll batch system engineered to handle large financial calculations and payslip exports asynchronously in celery background tasks.
- Offloads CPU-bound PDF rendering to multi-process Celery workers.
- Guaranteed financial correctness using Python's `Decimal` type instead of floating points.
- ACID transactional integrity via `@transaction.atomic` with automatic rollback on errors.
AI Care Agency Rota Manager
An AI-powered care scheduling platform that allows agency coordinators to assign shifts and check compliance using natural language prompts. Offloads scheduling validation to an agentic tool loop.
- Interpret commands like *"Assign Alice to Bob on Monday"* via OpenAI function calling.
- Real-time certification check and automatic double-booking prevention via Postgres constraints.
- Dockerized environment with PostgreSQL database, Express backend, and Next.js UI.
Procurement Intelligence Multi-Agent System
An enterprise procurement intelligence suite with LangGraph orchestrators, Vanna AI Text-to-SQL, AWS Bedrock Guardrails, and Pinecone vector search for purchase compliance.
- Multi-agent orchestration validating enterprise RFP compliance and contract bounds.
- Natural language SQL generation using Vanna AI over enterprise vendor databases.
- AWS Bedrock Guardrails ensuring strict deterministic policy enforcement.
Agentic AI Applications Portfolio (17 Microservices Monorepo)
A unified monorepo showcasing a suite of 17 business-oriented AI agent microservices running parallel RAG, voice automation, and visual QA tests.
- Autonomous Coder running inside isolated E2B code execution sandboxes.
- Event-driven Fintech Fraud detection checking transactional patterns over Apache Kafka.
- Unified React dashboard to control, execute, and monitor real-time telemetry from all 17 agents.
ScholarAssist: Research Paper Assistant
An academic research and literature synthesis tool that ingests scientific PDF papers, builds cross-citation graphs, and grounds literature review drafting.
- Dense vector retrieval with precise paragraph citation and hallucination minimization.
- Comparative matrix generation across multiple published methodology papers.
- BibTeX reference export and automated executive summaries.
QuestionPaperAI: Assessment Platform
An AI-powered intelligent assessment platform that streamlines test paper generation and student management through adaptive templates and question bank verification.
- Generates unique, randomized assessment papers and grading rubrics for individual students using OpenAI.
- Maintains a secure Question Bank with strict verification pipelines prior to inclusion.
- Features document exporting capabilities for generating beautifully formatted DOCX and PDF documents.
Kaggle Competition Master: ML Pipeline Dashboard
A machine learning competition engineering workbench with automated feature engineering, cross-validation tracking, and model ensembling pipelines.
- Automated LightGBM, XGBoost, and PyTorch deep neural net stacking.
- Optuna Bayesian hyperparameter optimization and cross-validation metrics tracking.
- Interactive evaluation dashboard for feature importance and confusion matrix inspection.
Python Interview Prep Suite
A comprehensive preparation suite of 16 structured Jupyter Notebooks covering advanced paradigms, memory management, and cross-cloud systems engineering.
- Exhaustive coverage of Object-Oriented Design (OOD) principles, algorithms, and concurrency patterns.
- Includes detailed technical mappings of service configurations between AWS, GCP, and Azure.
- Demonstrates performance-tuning strategies for core Python architectures and memory management.
Let's build something remarkable
I am currently open to new career opportunities and consulting projects. If you are looking for a full-stack engineer who understands AI Agent architectures and backend scalability, let's connect!