Full-stack developer from Udupi studying AI & Data Science at NMAMIT. I build scalable apps, ship ML models, and spend fest season making 3D web experiences for thousands of people.
Problem-solving first, framework second. I care about backend architecture that holds up, models that earn their accuracy, and interfaces that feel deliberate — the same proactive curiosity whether it's a wildfire-prediction platform, a CTF challenge, a payments backend, or a published research paper.
Built an end-to-end fire prediction and early-warning platform for the Brazilian Amazon as an IEEE journal internship — 7 GPU-trained ML models on 200K satellite records (0.987 ROC-AUC), live SHAP explainability, Rothermel physics fire-spread simulation, GIS ecological risk indices, a real-time Next.js + Leaflet dashboard, and a 5-agent LLM system coordinating fire response.
Leading development of the official platform for a national techno-cultural fest — 3D UI and real-time features serving thousands of participants, shipped as a production-grade PWA with gamification and event management.
Building and maintaining the department website and event-management systems on Next.js and Firebase, and designing digital solutions for department initiatives and technical events.
Built a production-grade Amazon fire intelligence platform — ML, physics simulation and LLM agents — as an IEEE journal internship & major project.
2026↗Published an IEEE conference paper on ML-based Near-Earth Object classification.
Oct 2025↗Technical Committee Member of Incridea — NMAMIT’s national-level techno-cultural fest.
2026↗Core member of the IDEA technical team running the department’s digital infrastructure.
2024 —↗