Thang Dinh is a software engineer in the San Francisco Bay Area with nine years of experience building production systems for autonomous vehicles, robotics, and financial platforms. He combines deep computer vision and machine learning expertise with strong systems and UI/UX sensibilities, having shipped perception and imaging software at Waymo, Aurora, and Applied Intuition. Thang has led engineering at a data-platform startup for self-driving fleets and helped scale Addepar’s asset platform from hundreds of billions to over a trillion in assets under management. Comfortable in C/C++ and OpenCV, he also bridges mobile and web stacks and iterates quickly on algorithm-to-product workflows. His academic background (MS/PhD work at USC) informs a rigorous approach to tracking, motion segmentation, and real-world sensor fusion problems. Colleagues know him for tackling messy, practical problems that sit at the intersection of algorithmic rigor and production engineering.
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