I study AI & Data Science @ MSRIT
I like working on full-stack, backend systems & ML :)
RAG & tool-calling based codebase feature planner. Uses platform-agnostic tools and vector DB for faster understanding
TypeScript
Real-time restaurant ordering system with WebSocket synchronization. Customers order with synced carts, kitchen gets live updates, owners see analytics dashboard.
TypeScript
AI Nutrition Tracker project. Won "User Experience Excellence Award" in Colossus Hackathon 2024
Webhook Delivery Engine with Retry Backoff, DLQ, and Concurrent Fan-out
TypeScript
Repository for a template blog website built out using Eleventy static site generator and Stylus CSS preprocessor
Multi-modal (Thermal data, CV Images, DXP Time series signals, Tabular data) manufacturing defect detection - 6th sem Mini Project
Python