Built and deployed my AI

Built and deployed my AI Engineering portfolio featuring a production-ready RAG assistant that lets visitors interact with an AI trained on my professional experience, projects, skills, and technical background.

The assistant uses FastAPI, LangGraph, Qdrant, Groq, and Python to retrieve relevant context and generate accurate, conversational responses. The portfolio itself is built with Next.js and Tailwind CSS, with the AI backend deployed separately and integrated through a live API.

This project demonstrates my ability to build and deploy complete GenAI applications—from vector search and RAG pipelines to backend APIs and production frontend integration.