Fahim Mannan
Principal Machine Learning Engineer at Torc Robotics
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolFahim Mannan is a Principal Machine Learning Engineer and research scientist with a PhD in Computer Science and nine years of industry experience, currently leading ML efforts at Torc Robotics. He bridges cutting‑edge research in computer vision, graphics, and differentiable optics with real‑world, safety‑critical perception and planning systems for autonomous vehicles. His publications at CVPR, ICCV, SIGGRAPH and IJCV reflect foundational work in 3D scene understanding, depth-from-defocus, learned ISP, and robust multimodal perception under adverse conditions. Fahim has repeatedly translated academic advances into production through technical leadership roles at Algolux and Torc, guiding R&D, simulation, and safety engineering teams. Notably, he combines sensor‑level co‑design (optics + AI) with large‑scale system deployment, a blend that makes his work both scientifically rigorous and pragmatically impactful. Based in Toronto, he brings deep domain expertise in vision, graphics, machine learning, and robotics to complex perception challenges.
9 years of coding experience
19 years of employment as a software developer
B.Sc., Computer Science, B.Sc., Computer Science at North South UniversityDoctor of Philosophy (Ph.D.), Computer Science (Computer Vision), Doctor of Philosophy (Ph.D.), Computer Science (Computer Vision) at McGill University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
neural-network10
machine-learning10
deep-learning10
tensorflow10
deep-neural-networks10
python10
data-science10
ml10
renderer1
Programming languages (2)
Github contributions (5)
fmannan/diffrend
Oct 2017 - Sep 2020
Contributions:2 pushes, 1 branch in 2 years 11 months
fmannan/tensorflow
Sep 2017 - Aug 2018
Computation using data flow graphs for scalable machine learning
Contributions:15 pushes, 2 branches in 11 months
computationscalabledataminingdata-sciencemachine-learning
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