Currently, I'm advancing my expertise AI architectures: multi-agent systems, agentic workflows, LLM fine tuning, and voice agents. I'm equally fascinated by exploring system design principles across distributed software systems, understanding the foundations that power scalable, resilient applications.

1. Retrieval-Augmented Generation (RAG)

   • Vector databases (Supabase pgvector, ChromaDB)
   • Multi-modal search (semantic + traditional)
   • LLM-powered query understanding and synthesis

2. Real-Time AI Agents

   • Streaming speech-to-speech conversations
   • Multi-Agent architecture

3. Full-Stack AI Applications

   • Modern frontend (React/Vite)
   • Backend (Python/FastAPI/Uvicorn)
   • Production-ready deployment (Docker, Kubernetes)

🌟 Featured Projects

🛍️ E-Commerce AI

Product Discovery Assistant – End-to-end RAG assistant for intelligent product discovery (repo) Stack: FastAPI • React (Vite) • Supabase pgvector • Google Gemini • RAG Pipeline

🗣️ Speech & Conversational AI

STS (Speech-to-Speech) – Real-time conversational AI (repo) Twilio-STS – Phone-integrated speech conversations (repo)

📚 AI-Powered Learning

RAG-Techniques – Comprehensive guide to different RAG architecture patterns (repo) Skill-Sphere – Interactive learning platform (repo)