Computer Science undergraduate specializing in Data Science with a focus on practical AI applications, automation, and real-world problem solving.
Production-grade full-stack AI system with stunnning UI and UX work for sunrise visibility prediction and photography-oriented weather intelligence. Analyzes 47+ atmospheric parameters across Chennai beaches to generate confidence scores (0-100%), device-specific photography recommendations (DSLR & smartphone), and automated daily email notifications. Featured in IEEE technical documentation.
Key Features: AI-powered photography insights, sunrise visibility scoring algorithm, automated 4 AM IST email notifications, mobile-first responsive UI, zero-cost infrastructure deployment, and 99.9% monitored uptime.
Automated telecom network outage analysis tool developed during Nokia & Prodapt's National Level Hackathon (Dataset'24). Designed and implemented a prototype for analyzing telecom logs and identifying root causes of outages using LLM integrations, achieving 40% reduction in manual diagnostic time.
I'm a Computer Science undergraduate at VIT Chennai specializing in Data Science, with a strong focus on practical AI applications and automation. Beyond academics, I'm passionate about exploring how AI can solve real-world problems, optimizing workflows through intelligent tools, and sharing knowledge through public speaking and presentations. I believe in ensuring my presence adds value and contributes meaningfully to collaborative success.
I'm always open to discussing new opportunities, collaborations, or interesting projects. Feel free to reach out through any of the channels below.