● Architected multi-agent LangGraph workflows for patent analysis and market research, using fault-tolerant state
management and dynamic routing across specialized AI agents.
● Built scalable backend services and REST APIs for the LLM Garden platform, supporting high-throughput inference with
async processing, caching, and production-grade reliability.
● Designed Azure ML pipelines across 100+ IP and market data sources, with LangSmith observability
● Engineered and deployed an AI-powered voice & WhatsApp agent with RAG / fuzzy search for appointment booking, lead
generation, outbound calls, and conversational engagement, boosting first-call resolution by 40% & conversions by 35%.
● Engineered a FastAPI–Supabase backend for logs, transcripts, analytics, and automated customer insights dashboards,
reducing manual processing by 30% and uncovering buying motivations to guide product strategies.
● Implemented end-to-end CI/CD pipelines (GitHub Actions → Azure Container Registry → Azure Container Apps).
Freelance AI Engineeratself-employed2023
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2023
●Built a liver tumor detection system (CNN + Grad-CAM) with 93% accuracy on medical CT scans.
●Developed RAG-based document assistants with OCR + embeddings for real-time enterprise Q&A.
●Deployed AI backends (FastAPI + Docker) with CI/CD to Azure, Vercel, Heroku, Railway, ensuring scalable, low-latency APIs.