Ayon Bakshi
Quantitative Developer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAyon Bakshi is a quantitative developer in New York with nine years of software and machine learning experience spanning systematic equities, foundation-model training, and RL-driven physics simulation. He currently builds stat-arb systems at Cubist, after internships at Apple on efficient foundation-model pretraining and data-efficient deep learning and at NVIDIA on GPU-accelerated RL/physics research. His background from Waterloo in Computer Science and Combinatorics & Optimization reflects a strong blend of algorithmic rigor and practical systems engineering, applied to low-latency trading infrastructure and large-scale ML experiments. Comfortable moving between research and production, he has repeatedly delivered end-to-end solutions—from GPU simulation pipelines to core infra services—showing an uncommon cross-domain fluency. Colleagues can expect a practitioner who pairs quantitative modeling with performant implementation and a track record of shipping complex prototypes into production.
9 years of coding experience
1 year of employment as a software developer
TOPS Program, TOPS Program at Marc Garneau CIBachelor's of Mathematics, Computer Science and Combinatorics & Optimization, Bachelor's of Mathematics, Computer Science and Combinatorics & Optimization at University of Waterloo
Github Skills (2)
physics1
python1
Programming languages (2)
Github contributions (5)
ayonbakshi/Cray-Tracer
Oct 2019 - Feb 2020
Contributions:35 commits, 32 pushes, 1 branch in 3 months
meganniu/Life-Simulation
Jan 2017 - Jan 2017
Contributions:53 pushes in 13 days
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