Mohd Safwan
Quantitative Researcher
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolMohd Safwan is a quantitative researcher based in Mumbai with 8 years of experience building alpha-generating strategies and production-ready ML systems across market microstructure and high-performance computing. At Millennium he focuses on differentiated quantitative strategies in highly competitive markets, drawing on prior applied-science internships at Amazon and a startup background co-founding a computer-vision deep learning firm. He has practical expertise in deep learning, reinforcement learning, and deploying tunable AI agents from his work at WinZO and Augle AI, plus hands-on experience improving multimodal search in an industrial setting. Trained at IIT Bombay with an integrated BTech–MTech in Electrical Engineering, he blends rigorous academic foundations with fast-paced execution. Notably, he moves seamlessly between research and engineering—taking models from concept to low-latency production—reflecting both entrepreneurial initiative and institutional quant experience.
8 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Bombay
Github Skills (75)
face10
face-recognition10
face-detection10
re-identification10
javascript9
face-alignment9
paddlepaddle9
rubiks-cube9
mxnet9
pytorch9
open-source9
arcface9
computer-vision8
dpll8
imperative8
Programming languages (10)
Github contributions (5)
safwankdb/petyr
May 2020 - Aug 2021
Contributions:59 commits, 50 pushes, 1 branch in 1 year 2 months
safwankdb/Vanilla-GAN
Jun 2019 - Mar 2020
Contributions:25 commits, 24 pushes, 1 branch in 8 months
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