Mohamed Elgendy is a founder and seasoned AI engineering leader with 10+ years building production ML and computer vision systems across startups and large enterprises. As Co-Founder & CEO of Kolena he’s focused on AI testing and validation, drawing on prior leadership roles where he built ML platforms for Rakuten Mobile and threat-detection vision systems at Synapse. He authored "Deep Learning for Vision Systems" (Manning), an early-access run that sold over 10,000 copies, signaling both practical expertise and a talent for communicating complex topics. His background spans applied research to product delivery—leading ML teams at Amazon and Twilio and shipping embedded, cloud, and data-platform solutions. Trained in systems and biomedical engineering with executive ML and business credentials, he combines technical depth (Python, TensorFlow, C++, AWS) with operator experience in regulated and safety-critical domains. He’s unusually comfortable translating academic deep learning into hardened production pipelines that prioritize reliability, security, and measurable validation.
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