Aditya Khuntia

I am a second-year undergraduate in Mathematics & Computing Engineering at Delhi Technological University, working at the intersection of agentic AI and applied machine learning. Over the past year I have worked across LLM pipeline engineering, production financial data systems, and multi-agent orchestration — most recently at Qualcomm.

I placed 1st among 850+ teams from 84 countries at the NASA Lunar Loo Challenge Jr., and was a Top 0.1% national winner at Toycathon 2021 among 17,000+ projects. Most recently, runner-up at Morgan Stanley Code To Give 2025. Outside engineering, I lead 180 Degrees Consulting at DTU, delivering strategy engagements for non-profit and early-stage clients.

Away from the terminal, I have a weakness for obscure rabbit holes — the mathematics of juggling, why ancient civilisations had no word for blue, how medieval monks accidentally perfected beer. Strange facts at the edge of science and the deeply weird are my natural habitat.