Surya Kalia
Quantitative Analyst
Boca Raton, Florida, United States
Summary
👤
Senior🎓
Top SchoolSurya Kalia is a quantitative analyst with 10 years of cross-disciplinary experience bridging low-latency trading infrastructure and machine learning research. Currently on the rates desk at III Capital Management and an MS CS student at the University of Chicago, he pairs production-grade HFT systems work—options pricing, risk libraries, and market-data optimization—with rigorous ML/CV research in connectomics and vision. An IIT Delhi alumnus, he previously built latency-sensitive trading toolchains at AlphaGrep and deployed mid-frequency strategies that moved into production at Graviton Research. He is fluent in C++ and Python, comfortable with parallel programming and simulation-style backtests, and has a track record of squeezing incremental alpha from ML-driven features. Notably, his background spans both academic open-source vision datasets and industry-grade post-trade analysis tools, giving him a rare blend of research depth and trading-floor pragmatism.
9 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Master of Science Computer Science - Data Analytics, Master of Science Computer Science - Data Analytics at University of ChicagoExchange Student Engineering and Managenent of Complex Systems, Exchange Student Engineering and Managenent of Complex Systems at Ecole des Mines d'Alès
Github Skills (11)
robust8
medical-imaging6
computer-vision6
pytorch6
deep-learning6
machine-learning6
ray6
voting6
nutrition5
object-detection5
tensorflow4
Programming languages (2)
Github contributions (5)
SuryaKalia/AaltoVision
Nov 2017 - Oct 2019
Contributions:3 pushes in 1 year 10 months
SuryaKalia/pytorch_connectomics
Jun 2023 - Jun 2023
PyTorch Connectomics: segmentation toolbox for EM connectomics
Contributions:3 pushes in 14 days
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