Summary
Roozbeh Sanaei is an algorithm and software engineer with nine years of experience building machine-learning and computer-vision systems, currently driving algorithm development at Continental in the San Francisco Bay Area. He holds a PhD in AI in Engineering from an MIT-affiliated center and combines deep academic grounding with hands-on product engineering gained at companies like Rapsodo and research labs across NUS. His background spans mathematical modeling, bioengineering imaging, and acoustics, enabling him to bridge physical-system understanding with data-driven algorithms. Known for integrating research into production, he has a track record of moving prototypes from lab settings into commercial embedded and sensing products. A thinker equally at home in equations and applied code, he brings uncommon fluency between advanced modeling and practical system integration.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, AI in Engineering, Doctor of Philosophy - PhD, AI in Engineering at SUTD - MIT International Design Centre
Bachelor of Mechanical Engineering, Acoustics and Ultrasonics, Bachelor of Mechanical Engineering, Acoustics and Ultrasonics at Iran University of Science and Technology
Doctor of Philosophy (Ph.D.), AI in Engineering, A+, Doctor of Philosophy (Ph.D.), AI in Engineering, A+ at SUTD-MIT International Design Centre
Master of Bioengineering, Cellular and Molecular Imaging, A, Master of Bioengineering, Cellular and Molecular Imaging, A at National University of Singapore
English, English