I’m a developer passionate about crafting clean, performant, and thoughtful digital experiences. I like to think of myself as an engineer first and a developer second—meaning I care deeply about the underlying architecture and system design before writing a single line of code. Whether it's building cloud infrastructure or refining the tiniest UI interaction, I love building solutions that actually make a difference.
Currently, I'm working as an AI Engineer Intern (Contract) at Snorkel AI, where I get to push the boundaries of what frontier models can do. My work revolves around developing specialized training datasets and adversarial evaluation environments targeting AI failure modes. Recently, I designed and evaluated over 1,000 task instances to advance Claude Sonnet in complex software engineering workflows, and I’ve been actively building autonomous AI agents capable of multi-step task execution.
Before Snorkel, I spent time at the State Bank of India Foundation as a Software Development Engineer Intern. There, I engineered an AI-assisted decision pipeline that processed over 200,000 applications, reducing turnaround time by 85%. I also built anomaly detection systems and scalable backend pipelines using Python and SQL to surface data inconsistencies and ensure structural integrity.
I’m currently pursuing my Bachelor of Technology in Computer Science & Engineering at the Vellore Institute of Technology (2022–2026). My technical ecosystem spans across full-stack development and AI engineering—I work heavily with JavaScript, TypeScript, Python, and Langchain. On the frontend, I rely on React, Next.js, and Tailwind CSS, while my backend and infrastructure tools include Node.js, FastAPI, PostgreSQL, Docker, and AWS.
When I'm not coding, you'll usually find me exploring new open-source technologies, diving into system design patterns, or learning about the stock market and trying my luck with it.