I built a multi-agent AI research report assistant with LangGraph, coordinating planner, researcher, analyst, and writer agents to create structured reports from natural-language queries. I added a critic-agent feedback loop to review and revise outputs.
As an AI/ML Intern at Acmegrade, I built an AI-driven career counseling chatbot using NLP and deep learning. I optimized its pipelines to reduce inference time by 30%.
I also built an end-to-end RAG document assistant using Azure OpenAI, LangChain, and a vector database, and developed AI/ML projects in network anomaly detection and elderly-care robotics.
