B.Tech CSE — AI & ML · Vellore Institute of Technology · 2027
I build AI systems that ship to the real world — not notebooks, not demos. From breast cancer detection running offline on Android, to a generative fashion system on Stable Diffusion, everything goes end-to-end: model training, backend APIs, and production deployment. Right now I'm a Developer Intern at Soft Solvers, automating insurance test flows with Playwright; before that I worked on AI agents at TroviqAI.
I grew up in Dhanbad, Jharkhand, and now study at Vellore Institute of Technology — pursuing a B.Tech in Computer Science with a specialisation in AI and Machine Learning.
I started writing code because I wanted to solve things that mattered — diagnosing crop disease without internet, detecting breast cancer early on a cheap Android phone, catching e-commerce fraud at scale. My technical range spans the full ML stack: dataset curation, model training, TFLite + XGBoost inference, FastAPI backends, React Native frontends, and production deployment.
I was promoted from Core Member to Main Council Member of the AI Club at VIT, where I've led workshops on LLMs and deep learning for 300+ students and helped organise hackathons and speaker sessions. I was also selected for VIT's Experiential Learning Program, visiting BSNL, T-Hub, T-Works, Zensar Technologies, and L&T Metro in Hyderabad and Pune.
Lately my work has moved toward AI systems you can trust: models that say when they're unsure (SkinIQ), agents behind guardrails and human approval (AgentHub, and the Hunt agent at TroviqAI), and test suites that run themselves (328 Playwright tests at Soft Solvers). I was also selected for Amazon ML Summer School 2026, one of about 3,000 from 150,000+ applicants.
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I'm open to full-time jobs and internships in software development, full stack, AI/ML and AI agents, as well as research collaborations, and open-source AI projects — especially in computer vision, LLM agents, generative AI, or full stack.