I'm a Full-Stack AI Developer who loves to build and ship products. I have built numerous production-ready systems utilizing Agentic AI and Generative AI. I don't just build basic side projects I engineer utility products designed to show how complex AI systems perform at scale. I have also interned at Larsen & Toubro.
When I'm not studying, I'm usually building another side project, experimenting with AI, or shipping features that started as "just a quick idea."
Experience
Education, project work, and measurable engineering outcomes
Project Trainee
Larsen & Toubro (L&T)
- Developed automated Python-based data extraction pipelines for machine health reports and equipment telemetry from multiple internal sources.
- Reduced manual reporting effort by 75% across 50,000+ equipment records through automated collection and preprocessing workflows.
- Built data preprocessing and cleaning workflows for large-scale equipment datasets, reducing analysis turnaround time by 60%.
- Designed Power BI dashboards for equipment utilization and operational KPIs, cutting weekly reporting cycles from 6 hours to under 1 hour.
Projects
AI, data, and full-stack projects from my resume
Max - AI Terminal Copilot & CLI Assistant
A blazing-fast, local, AI-powered CLI tool that translates natural language commands into safe, executable shell commands.
TriAge - Autonomous Quality Engineering Platform
Healer Agent built with LangGraph for automated RCA on test failures, commit correlation, and targeted fix patch generation.
WebRTC Video Conferencing Platform
Real-time peer-to-peer video conferencing app with WebSocket signaling, STUN/TURN traversal, and adaptive bitrate controls.
Chat with Codebase - RAG Developer Assistant
RAG pipeline that clones repositories, parses source code, creates semantic embeddings, and answers architecture questions.
Talk2Doc - AI Document Question Answering System
RAG-powered document assistant for large documents with chunking, embeddings, and contextual LLM responses.