Intikhab Azam · AI Engineer & Systems Architect for Voice AI Agents, RAG, Machine Learning & Automation
I'm an AI engineer and systems architect. I design, build, fix and optimize AI agents, voice AI, RAG systems, machine-learning models and business automations that run in production: the kind that answer real phone calls, move real money and get used by people who don't care how they work.
role: AI engineer · systems architect · automation engineer · backend developer
building: voice AI agents (Vapi + Twilio) · RAG chatbots · LLM tool-calling agents
architect: multi-tenant SaaS · BFF auth · field-level encryption · event-driven pipelines
ai stack: Claude · Claude Code · MCP · n8n · OpenAI · Gemini · OpenRouter · ElevenLabs · Deepgram
also: ML validation + forecasting · computer vision · lead generation · data pipelines
obsessed: LLM cost optimization: prompt caching, model routing, token budgets
shipping: production systems: voice agents, CRMs, lead-gen engines, ML research toolsI design systems end to end, from the data model to the deploy pipeline. Patterns I use in production:
- Multi-tenant SaaS: shared schema with tenant keys and Postgres row-level security
- BFF authentication: httpOnly cookie sessions with token refresh owned in one place
- Field-level encryption for sensitive healthcare data, with key rotation and idempotent backfills
- Event-driven pipelines: webhooks, job queues, retries and idempotency keys
- Edge compute: Cloudflare Workers for payment links, SMS and API glue between voice agents and Stripe
- LLM routing: small models first, frontier models only when needed; cut one client's LLM spend by about 70%
- Delivery: Dockerized services, Kubernetes + NGINX, Prometheus monitoring and CI/CD gated on end-to-end tests
All repositories, with details
| Repository | What it is | Stack |
|---|---|---|
| edgeproof-crypto-trading-backtest | Crypto trading backtesting & ML validation: triple-barrier labels, purged CV, deflated Sharpe and a planted-edge control | Python · LightGBM · PyTorch |
| vapi-voice-agent-crm | CRM & call-ops backend for Vapi AI voice agents: webhooks, predictive dialer, auto-redial, Stripe-verified conversions | Node.js · Express · Twilio · Stripe |
| local-business-lead-finder | Lead generation engine: grid search past the Google Places cap, OpenStreetMap fallback, e-mail enrichment | Python · FastAPI · Streamlit |
| secureface-liveness-detection | Face recognition access control with head-pose liveness, rPPG pulse detection and ChromaDB matching | InsightFace · OpenCV · Streamlit |
| ai-wealth-advisor | RAG + tool-calling financial assistant: VaR, Sharpe, drawdown, diversification scoring | LangChain · Gemini · Flask |
| cryptoaion-price-prediction | BiLSTM + attention crypto price prediction API with WebSocket streaming and JWT auth | PyTorch · FastAPI |
| npi-healthcare-lead-pipeline | NPI Registry → practice websites → e-mails, resumable and scheduled on GitHub Actions | Python · GitHub Actions |
| kubernetes-flask-microservices | Flask microservices on Kubernetes with NGINX, PostgreSQL, a logging service and Prometheus | Flask · Kubernetes · Docker |
| kubernetes-flask-crud | Flask + PostgreSQL behind NGINX on Minikube with NetworkPolicies | Flask · Kubernetes · NGINX |
| flask-postgres-crud-dashboard | User management CRUD app with a Chart.js analytics dashboard | Flask · PostgreSQL · Docker |
| react-express-drizzle-crud | Full-stack TypeScript CRUD with Passport session auth | React · Express · Drizzle · Neon |
| devops-agency-website | DevOps agency site with a pricing calculator and contact API | React · TypeScript · Tailwind |
| crypto-price-prediction-api | v1 of CryptoAion with BiLSTM and XGBoost research notebooks | FastAPI · PyTorch |
| ubuntu-dev-tools-installer | Interactive Bash installer for Python, VS Code, Docker, Jenkins, kubectl | Bash |
| libncurses5-libaio1-ubuntu-deb | Legacy libaio1 / libncurses5 / libtinfo5 .deb packages for newer Ubuntu |
Ubuntu · dpkg |
| cpp-queue-data-structure | Array-based FIFO queue in C++ | C++ |
Drawn daily by this repo's own GitHub Action. No third-party stats service.
I take on contract and freelance work:
- System architecture: multi-tenant SaaS design, auth and data security, scaling and cost reviews
- AI agent workflows: Claude, MCP and n8n agents across Slack, Notion and CRMs
- AI voice agents: Vapi / Twilio receptionists, outbound callers, call-to-CRM pipelines
- RAG chatbots & LLM agents: knowledge bases, tool calling, memory, evaluation
- LLM cost optimization: cutting token spend with caching, routing and smaller models
- ML validation: finding out whether a model's backtest is real before money rides on it
- Automation: lead generation, scraping + enrichment, CRM and payment integrations



