At VarshaKrishi Udhyog Pvt. Ltd., I’m developing a 5G-enabled Edge-AI platform for satellite crop advisory, soil health monitoring, and IoT field telemetry in eight Indian languages. I built a Python and FastAPI crop-advisory pipeline using Sentinel-2 and NASA HLS imagery, and an agricultural verification API that combines satellite, IoT, weather, and geotagged-photo evidence.
I was awarded a non-dilutive grant from the Government of Uttar Pradesh for prototype development, and secured a government tender for agricultural sensors and the advisory platform. My dual-domain agronomic correction method for IoT agriculture was published by the Indian Patent Office.
At IIT Kanpur, I’ve worked on projects spanning computer vision, financial and policy analysis, and data dashboards. I also built CORE, a React and Python dashboard using the Zerodha Kite API, and developed a six-stage computer-vision pipeline to measure shuttlecock spin from high-speed video.
