💖 Backend Developer
🧠 ML Engineer
🎓 B.Tech CSE @ SGGSIE&T
🌙 Passionate about AI/ML, scalable backend systems
Java • Python (Pandas) • OOP • Data Structures & Algorithms • SQL
Spring Boot • REST APIs • Microservices • JWT • WebSockets • Redis • FastAPI • Supabase
Supervised & Unsupervised Learning • Data Preprocessing • Feature Engineering • Model Training • ML Pipelines • Data Visualisation • LLM/NLP (Basics)
Docker • Git • Linux • Postman
✨ Finalist — National AI Hackathon (Ignisia 2026) among 450+ teams
✨ Built AI-based health analysis system during 24-hour HackNext 1.0 Hackathon (TCET)
✨ Built freelance project implementing Black–Scholes and Markov-switching models for derivative pricing; integrated Polygon API, computed implied volatility, and generated 3D volatility surfaces
✨ Solved 200+ LeetCode problems
✨ 5⭐ Java on HackerRank
✨ Open Source Contributor — GSSOC & SSOC
Google Drive inspired distributed cloud storage platform with JWT authentication, Redis caching, WebSockets sync, Dockerized microservices, and Supabase integration.
AI-powered voice health analysis system using audio signal processing, anomaly detection, FastAPI APIs, and real-time health trend analysis.
End-to-end ML pipeline for MSME loan recommendations using XGBoost, SHAP explainability, PCA + KMeans clustering, and FastAPI deployment.
Smart inventory and billing management system with real-time stock tracking, profit/loss analytics, low-stock alerts, and expiry monitoring.