B.Tech CS (Data Science) at VIT Vellore, graduating 2027. I specialize in building highly-optimized, AI-native infrastructure—from zero-marginal-cost NLP pipelines to distributed multi-agent systems and custom game engines. I've scaled products to 2,000+ users and engineered enterprise-grade RAG solutions running entirely on edge architectures. Always building in public.
Engineered a high-performance video benchmarking system and automated computer vision pipeline for Android devices. Improved measurement precision by 40% and reduced manual testing overhead by over 150 hours weekly.
Revamped the backend architecture and database for an AI-powered JEE prep platform, cutting system latency and boosting API speeds by 192%. Automated document workflows to cut export times in half.
Led 50+ members, driving 20% growth in chapter engagement through the execution of 10+ major technical events.
A privacy-first tool that compresses ChatGPT conversations into highly token-efficient summaries. Scaled to over 2,000 active users by utilizing a custom AI pipeline and serverless edge architecture.
2K+ usersAn AI platform that evaluates software architecture designs using a team of specialized agents. Built to mirror enterprise-level reliability while running entirely on cost-free infrastructure.
A specialized retrieval system built to prevent AI hallucinations in marketing materials. It securely pulls ground truth directly from GitHub and Slack to generate highly accurate, traceable assets.
An autonomous AI agent trained to master a highly complex board game through self-play. Features a custom-built game engine and a computer vision pipeline to play against human opponents online.