Mohd Safwan
AVP - Quant Trading at Edelweiss Global Markets
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.
9 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology BombayHFCS Bhopal
Github Skills (62)
face-detection10
style-transfer10
mnist-dataset10
face-recognition10
homography10
arcface9
javascript9
pytorch9
subclassing9
mxnet9
sat-solver9
face-alignment9
paddlepaddle9
python8
satisfiability8
Programming languages (10)
Github contributions (5)
safwankdb/Project-Euler-Solutions-in-Python3
May 2018 - Oct 2020
I am solving porject euler problems to get familiar with python3. I will upload my solutions here.
Contributions:2 PRs, 2 pushes, 2 branches in 2 years 5 months
pythonsolvingeulerproblemsmultiprocessing
safwankdb/ReCoNet-PyTorch
May 2019 - Jul 2021
Realtime Coherent Style Transfer for Videos
Contributions:22 commits, 11 pushes, 1 branch in 2 years 2 months
style-transfer
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