Mohamed Elfeki
Applied ML at Scale AI
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolMohamed Elfeki is an applied machine learning leader with 11 years of experience building production ML systems and human-in-the-loop data pipelines, currently leading the Applied ML team at Scale AI after senior research and leadership roles at Microsoft. He holds a PhD in Computer Vision & Machine Learning and has driven large-scale projects across LLM training, compression, multimodal integration, and image generation that contributed to Microsoft Copilot+PC features. Mohamed combines deep research pedigree—published and presented work on generative models, video summarization, and transfer learning—with hands-on deployment experience from startups to hyperscalers including Amazon and Meta. He’s skilled at translating cutting-edge research into reliable annotation, evaluation, and model-tooling infrastructure, and often blends systems thinking with domain-specific solutions in healthcare, clean energy, and egocentric vision. A practical innovator, he has repeatedly moved ideas from papers and patents into customer-facing products and scalable pipelines.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree of Engineering Computer and Systems Engineering, Bachelor's degree of Engineering Computer and Systems Engineering at Alexandria UniversityDoctor of Philosophy - PhD Computer Vision & Machine Learning, Doctor of Philosophy - PhD Computer Vision & Machine Learning at University of Central Florida
English, Arabic, French
Github Skills (24)
generative-model10
unreal-engine-49
simulator9
ros9
computer-vision8
deep-reinforcement-learning8
carla8
autonomous-driving8
ai8
artificial-intelligence8
imitation-learning8
encoder-decoder7
self-driving-car7
tensorflow7
cross-platform7
Programming languages (2)
Github contributions (5)
M-Elfeki/GDPP
Nov 2018 - Jul 2019
Generator loss to reduce mode-collapse and to improve the generated samples quality.
Contributions:63 commits, 61 pushes, 1 branch in 7 months
generative-adversarial-networksgenerative-modelvariational-autoencoderstensorflowdeterminantal-point-processes
M-Elfeki/ThirdToFirst
Nov 2018 - Dec 2019
Contributions:21 commits, 18 pushes in 1 year
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