At Tech Mahindra, I'm developing File Monitoring System V3, an AI-powered desktop application that monitors designated folders and triggers document processing. I use Python, LangGraph, ChromaDB, and Groq LLM inference in its multi-stage pipeline.
I also engineered a RAG pipeline that uses ChromaDB vector storage and Groq LLM inference to classify DOCX, PDF, and XLSX documents and create a knowledge base. My work includes streamlining business workflows with scripting and AI-driven tools.
For my Stock Portfolio Tracker personal project, I built a Node.js backend with PostgreSQL, JWT authentication, and REST APIs. It supports portfolio operations, live-price profit and loss calculations, and more than 100 stock entries per user.
