Summary
Mohamed 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 University
Doctor of Philosophy - PhD Computer Vision & Machine Learning, Doctor of Philosophy - PhD Computer Vision & Machine Learning at University of Central Florida
English, Arabic, French