Rafid Mahmood
Assistant Professor at Telfer School of Management at the University of Ottawa
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolRafid Mahmood is an operations-research-trained AI researcher and engineer with a decade of experience bridging data-driven optimization and production ML systems. He is currently a Senior Research Scientist at NVIDIA Toronto AI Lab and an Assistant Professor at the Telfer School of Management, focusing on data-centric ML pipelines and AI deployment operations. His PhD work developed prescriptive analytics methods for personalized medicine, sports analytics, and portfolio optimization, while his MASc explored error-correction codes for real-time communication—reflecting a rare blend of theoretical depth and systems engineering. He has shipped practical tools like the inverse optimization Python library and a media-covered NHL expansion draft optimizer, demonstrating a knack for turning optimization research into interactive, real-world applications. Based in Toronto, he combines academic rigor with production experience across research residencies and product engineering roles, often working at the intersection of optimization, ML ops, and applied decision-making.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Operations Research, Doctor of Philosophy (PhD), Operations Research at University of Toronto
English
Github Skills (11)
generative-adversarial-network8
inverse7
integer-programming4
modeling4
qbcore-framework4
optimization4
react3
espn3
nextjs2
linear-programming2
python2
Programming languages (3)
Github contributions (5)
rafidrm/invo
Apr 2017 - Nov 2017
Inverse Optimization
Contributions:26 commits, 32 pushes, 1 branch in 6 months
inverse-optimizationoptimizationinverse
rafidrm/rafidrm.github.io
Apr 2016 - Mar 2026
Personal website
Contributions:230 pushes, 1 branch in 10 years 1 month
reactnextjs
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