Building distributed systems, backend infra, and ML — one project at a time.

• 🎓 Dual-degree student — BS in Data Science & Applications (IIT Madras) and BSc (Hons.) Computer Science (BITS Pilani), graduating 2029
• 📍 From Bargarh, India
• 🧠 Interested in backend systems, distributed systems, and applied ML
• 🇯🇵 Selected for GCI World 2026 — an online AI & data science program at the Matsuo-Iwasawa Lab, University of Tokyo (Sept 2026)
• 🎯 Actively building open-source contributions and portfolio projects toward internships and GSoC

CloudStore — a Dropbox-style distributed file storage system

• Built with FastAPI, PostgreSQL, gRPC, Redis, Docker Compose
• Phase 1: JWT auth & file management
• Phase 2: Chunked replication across storage nodes
• Phase 3: Heartbeat monitoring with auto-re-replication
• Design informed by a deep study of the Google File System (GFS) paper — chunk sizing, metadata design, and re-replication priority

• Chatbot Song Recommender — FastAPI, pgvector, Redis, dual LLM (Gemini/Claude) backend, Next.js frontend; deployed on Render + Supabase
• UPI Fraud Detection Dashboard — synthetic transaction simulator, XGBoost model, FastAPI scoring endpoint
• RL Library (from scratch, in C) — Q-learning, SARSA, Expected SARSA across GridWorld and k-armed bandit environments
• RetailPulse AI — EDA, SQL analysis, RFM/ABC segmentation, forecasting, and Power BI dashboards on the Superstore dataset
• Road Safety ARS — React Native + FastAPI + XGBoost crash detection system
• Ticket Management System — FastAPI, PostgreSQL, JWT, Alembic
• Creative dev: Star Map (interactive canvas constellation navigation) and The Unfinished Draft (scrubber-based revision history)

Languages & Data: Python, SQL, C
Backend: FastAPI, gRPC, PostgreSQL, Redis, Docker
ML/DS: Pandas, Scikit-learn, TensorFlow, XGBoost
Frontend: Next.js, React Native

Always open to conversations on distributed systems, ML, and open source — feel free to reach out.