At Krishigati Pvt. Ltd, I'm developing AI models to detect tomato plant disease and severity. I designed and deployed a TFLite-based classifier for 10 disease classes and four severity levels on Raspberry Pi 5, with controlled spray actuation.
As a Full Stack Developer Intern at EventDoor, I developed and deployed features for a live production environment using Next.js and PostgreSQL. I designed RESTful APIs, managed database schemas with Drizzle ORM, and built reusable React components.
I built Buttercup OS, a 32-bit x86 kernel, with paging, memory management, and interrupt handling. I also implemented cooperative multitasking, task creation, and round-robin scheduling.
My projects include CodeGuard, a static analysis platform that detects vulnerability types across Java, JavaScript, and Python, and a chat experience system with real-time sentiment detection. The chat system's research paper was published in IJSREM.
