Thang Dinh
Software Engineer at Applied Intuition
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolThang 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.
9 years of coding experience
19 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of Southern CaliforniaBachelor Information Technology, Bachelor Information Technology at University of Science
Github Skills (11)
data-lineage10
jooq10
enterprise-architecture10
jasperreports10
liquibase10
angularjs10
architecture10
sparkjava10
docker2
kubernetes1
microservices1
Programming languages (1)
Github contributions (2)
glorymanutd/waltz
Dec 2016 - Mar 2017
Contributions:85 pushes, 37 branches in 3 months
dockerkubernetesmicroservicesarchitecturewire
finos/waltz
Dec 2016 - Mar 2017
Enterprise Information Service
Contributions:61 commits, 40 PRs, 24 comments in 3 months
jooqenterprise-informationsparkjavadata-lineageenterprise-software
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