Sumit Kumar
🇮🇳India· Dhanbad
A second-year Engineering Physics undergrad who built his own LLM-driven alpha pipeline and rode it to silver in Singapore.
Sumit Kumar was a sophomore — second year of Engineering Physics at IIT (Indian School of Mines) Dhanbad — when he placed second at the 2025 International Quant Championship in Singapore, the only Indian on the podium. The 2025 edition was the first IQC run as individual competition, with twelve finalists representing the top 0.02% of nearly 80,000 contestants who submitted some 263,000 alphas to WorldQuant's BRAIN platform between March and August. IIT Delhi had won the 2023 IQC outright (Team Guava); Sumit's silver kept India on the IQC podium in a row of four straight editions where Indian universities have finished top-three.
What makes his entry technically interesting is what he built around the BRAIN platform itself. His GitHub repos include AlphaGen — a feedback-driven alpha generation pipeline that combines Google's Gemini API with the WorldQuant BRAIN API to auto-generate, backtest and iteratively refine trading signals — and AlphaTune, an automated hyperparameter-optimization framework for BRAIN alphas using Optuna. The shape of those tools tells you what his edge was: not a single clever alpha, but a system that produced many alphas fast and culled the bad ones automatically.
His public footprint is built on the work, not on persona — a LinkedIn page tagged quantsumitkumar, a GitHub as MiracleInvoker, a Google Scholar with early citations, and an IIT ISM Dhanbad Facebook post celebrating the win. No Twitter or YouTube presence located. He has not yet given a media interview that's been indexed in English-language coverage; the only sustained press piece is The Avenue Mail / The Jharkhand Story regional coverage.