Mohammad Motamedi is a Lead Machine Learning Engineer with eight years of experience building scalable ML systems and data-driven predictive models, currently leading ML efforts at Capital One in Sunnyvale. He combines a strong academic foundation—a PhD in Computational Engineering Mechanics and a postdoc at Johns Hopkins—with hands-on experience translating complex numerical optimization and big data analytics research into production solutions. His background spans industry roles from healthcare analytics and resilience modeling to defense-funded computational mechanics, reflecting versatility in supervised learning, ensemble methods, and neural networks for both structured and imaging data. Known for implementing end-to-end pipelines that turn experimental and heterogeneous data into actionable insights, he has applied 3D CNNs for medical imaging and developed in-house computational software for dynamic fracture prediction. Mohammad blends research rigor with product-minded delivery, bridging advanced algorithms and practical deployment at enterprise scale.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Illinois Chicago
Bachelor's degree Engineering, Bachelor's degree Engineering at Ferdowsi University of Mashhad
Master of Science - MS, Master of Science - MS at Sharif University of Technology
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Mohammad Motamedi - Lead Machine Learning Engineer at Capital One