Robin Singh is a quantitative researcher with nine years of experience applying mathematical modeling, machine learning, and control theory to trading and derivative problems. A BS-MS graduate in Mathematics and Scientific Computing with a machine learning and cognitive sciences minor from IIT Kanpur, he has built practical market-making and trading strategies at Nomura and now designs quantitative solutions at Algoquant. His internship work combined reinforcement learning and optimal control to generalize Black–Scholes hedging, producing novel dynamic hedging and option pricing approaches that improved portfolio hedging efficiency. He also brings hands-on ML systems experience from industrial projects—computer vision-based toll automation, ANPR, and end-to-end client-server and DBMS integrations—which complements his quant research toolkit. Based in Bengaluru, Robin blends theoretical rigor with production-ready engineering to bridge research ideas and deployed trading systems.
9 years of coding experience
2 years of employment as a software developer
Marticulation, Science, Marticulation, Science at Tagore Baal Niketan Sr. Sec. School, Karnal, Haryana
Contributions:8 commits, 7 pushes, 1 branch in 4 years 1 month
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