AI · Finance · Strategy
From AI systems adopted by national banks to founding a consulting chapter at 19 — I don't wait for the right opportunity, I engineer it.
Most people my age are figuring out what they want to do. I'm already building it. I've shipped an AI credit engine that a national bank actually uses, designed financial models that adapt to market chaos in real-time, and founded a consulting chapter that went from zero to live client engagements in under three months.
I'm a second-year B.Tech student at IIPE, but the classroom is honestly the smallest part of my education. The real learning happens when I'm neck-deep in a hackathon at 3 AM, stress-testing a model that needs to work by morning, or convincing a room full of judges that my team's solution isn't just clever — it's deployable.
What drives me? The gap between what AI can theoretically do and what it actually does in the real world. I want to close that gap — in finance, in energy, in any system where better intelligence means better outcomes for real people.
Started with an idea and zero infrastructure. Within 3 months, built a full-stack consulting operation — recruited and trained a 20+ member team, secured real clients, and delivered data-driven strategy engagements for NGOs and mid-sized companies. Not a college club; a functioning consultancy.
Turned a non-existent quiz culture into a 200+ member community and IIPE's most active club. Organized 15+ events, took teams to national podiums, and proved that building culture from scratch is just another execution problem.
Walked into a factory floor and found a 12% efficiency gap everyone had accepted as normal. Didn't accept it. Rebuilt the bottleneck analysis from scratch and deployed SPC-driven quality dashboards that gave the floor team real-time decision power.
Got hands-on with pharmaceutical R&D — running formulation workflows, HPLC analyses, and stability testing under actual GMP/ICH conditions. Learned that precision in the lab and precision in code aren't that different.
Quantifiable impact across competitions, hackathons, and leadership.
Built RISKON from scratch — an AI credit intelligence platform that doesn't just score risk, it understands borrower behavior. The Bank of India didn't just give us the ₹5L prize; they adopted the platform.
Winner
99,000+ teams entered. 15 made it to the national stage. We were one of them. Walked away with a ₹50K prize and the validation that our approach to engineering problems wasn't just different — it was better.
National FinalistEach project started with a real problem. Click any card to dive into the full deck.
I'm always up for a good conversation — whether it's about a potential role, a wild project idea, or just nerding out about markets and ML. Drop me a line.