Projects

Things I've built — from enterprise full-stack apps to AI agents, RAG systems, and everything in between.

✅ Completed

RAG Chatbot — Java Interview Coach AI

✅ Completed

A Retrieval-Augmented Generation chatbot that answers Java interview questions from personal markdown notes. Built with Next.js 16, FastAPI, LangChain, Groq (Llama 3.1), HuggingFace Endpoint Embeddings, and Neon Postgres with pgvector. Frontend and Python backend co-deployed as a Vercel monorepo.

RAGLangChainGroqFastAPINext.jsNeonpgvectorHuggingFace

GitHub →Live Demo →

📋 Planned

Spring Boot AI API

📋 Planned

Production-ready REST API powered by Spring AI. Exposes RAG capabilities built on Java/Spring Boot with OpenAI integration, streaming responses, and pgvector for document retrieval.

Spring AISpring BootJavaRAGOpenAI

GitHub →Live Demo →

LangGraph AI Agent

📋 Planned

Multi-tool AI agent with memory and Human-in-the-Loop support. Built with LangGraph.js featuring web search, document reading, and ReAct reasoning pattern.

LangGraphAI AgentsLangChainJavaScript

GitHub →Live Demo →

MCP Server — Interview Prep Tools

📋 Planned

A Model Context Protocol server that exposes interview prep content as tools for AI assistants like Claude Desktop and VS Code Copilot.

MCPAI AgentsTypeScript

GitHub →