Building production-ready AI applications with modern technologies. Passionate about RAG systems, vector search, and intelligent document processing.
- RAG Systems - Retrieval-Augmented Generation
- Vector Search - Semantic similarity with pgvector
- LLM Integration - Google Gemini, LangChain
- Full-Stack AI - Next.js, TypeScript, Prisma
- Production Deployment - Vercel, Supabase
Production-ready AI application for document processing and Q&A
- ✅ RAG Pipeline with LangChain + Google Gemini
- ✅ Vector Search using Supabase pgvector
- ✅ Modern UI with Next.js 15 + TypeScript
- ✅ Production Ready with comprehensive testing
- ✅ Live Demo: View Application
Tech Stack: Next.js, TypeScript, LangChain, Supabase, Google Gemini, Prisma, Tailwind CSS
- 🔍 Advanced RAG systems with multi-modal support
- 🚀 Production AI applications with LangSmith observability
- 📚 Document processing with intelligent chunking
- Applied AI Engineer roles
- Full-Stack AI Developer positions
- RAG System Specialist opportunities
- Remote positions worldwide
⭐ Fun Fact: I've built AI applications that process documents and answer questions in real-time!