Mahan Fathi
Research Scientist At NVIDIA
Old Toronto, Ontario, Canada
Summary
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Rockstar🎓
Top SchoolMahan Fathi is a research scientist at NVIDIA with nine years of experience bridging applied machine learning, data infrastructure, and product-focused engineering. He has moved between industry and top-tier research labs—Mila, Google Brain, and DeepMind—working on reinforcement learning and ML research under notable advisors, which reflects a strong grounding in both theory and production. Previously he led maps, navigation and AR teams as an engineering manager, owning data platforms and cross-functional delivery for real-world location services. His academic path spans an MSc in Computer Science from Université de Montréal and earlier engineering and business degrees from Sharif University, combining technical depth with product and managerial savvy. Based in Toronto, he brings a rare mix of hands-on research, leadership in shipping data-centric systems, and mentorship experience teaching reinforcement learning.
9 years of coding experience
5 years of employment as a software developer
High School Diploma, Mathematics & Physics, 19.28/20.0, High School Diploma, Mathematics & Physics, 19.28/20.0 at National Organization for Development of Exceptional Talents (Sampad)Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Université de MontréalMaster of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at Sharif University of Technology
English, فارسی
Stackoverflow
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Github Skills (51)
convolutional-neural-networks10
cs231n10
computation-graph10
backpropagation10
hopper10
visual-recognition10
mujoco10
computer-vision9
reinforcement-learning9
py9
rl-environment9
reinforcement-learning-environments9
openai-gym9
tensorflow9
value-iteration9
Programming languages (7)
Github contributions (5)
MahanFathi/CS231
Sep 2017 - Jul 2018
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Contributions:19 commits, 18 pushes, 1 branch in 10 months
convolutional-neural-networkscs231nvisual-recognitiontensorflowimage-captioning
MahanFathi/HJxB
May 2021 - Jan 2022
Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
Contributions:72 commits, 53 pushes, 4 branches in 8 months
value-iterationreinforcement-learningcontinuous-controlcontinuous-value-iterationoptimal-control
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