At Tech Mahindra, I develop Generative AI and NLP applications using Python, LangChain, FAISS, vector embeddings, and LLMs. I’ve built RAG systems for document search and question answering.
I’ve also implemented semantic search, document chunking, embedding pipelines, and AI-driven recommendation workflows. My work includes AI-powered resume analysis and job matching with skill-gap detection and improvement suggestions.
On a document question-answering project, I developed a system for users to upload PDFs and ask questions in natural language. I built its RAG pipeline and Streamlit interface, which improved document search efficiency by approximately 70%.
I also developed an Enterprise Agentic AI Research & Knowledge Assistant using LangGraph, LangChain, FastAPI, and Chroma. Its agents route queries to enterprise documents or web search, while conversation memory helps maintain context across interactions.
