Jiaming Tao
Software Engineer at Meta
California, United States
Summary
🤩
Rockstar🎓
Top SchoolJiaming Tao is a software engineer with 8 years of recent experience and over two decades in the industry, currently building Ads Metrics systems at Meta from his base in California. He spent eight years at Baidu USA as a senior architect focused on L4 autonomous driving planning and was a top contributor to the widely used Apollo open-source driving platform, improving stop-sign scenarios and traffic-light-aware learning features. His background spans high-scale product work—from PayPal POS services to cross-platform libraries at Adobe and directory services at Cisco—bringing deep systems-level and applied AI/ML expertise. Comfortable moving between core backend engineering and machine learning integration, he combines rigorous academic training (BS Peking University; MS Kansas State) with hands-on open-source impact on safety-critical autonomy code.
8 years of coding experience
22 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Peking UniversityMS, Computer Science, MS, Computer Science at Kansas State University
Github Skills (6)
pathfinding10
c-language10
cprogramming-language10
python10
machine-learning9
deep-learning9
Programming languages (2)
Github contributions (5)
ApolloAuto/apollo
Jul 2017 - Mar 2021
An open autonomous driving platform
Role in this project:
Back-end Developer & AI/ML Engineer
Back-end Developer & AI/ML EngineerContributions:1568 commits, 939 PRs, 351 pushes in 3 years 8 months
Contributions summary:Jiaming primarily contributed to the development of the core planning components within the Apollo autonomous driving platform. Their work focused on enhancing the stop-sign scenario by updating the condition for stop sign scenario triggering. They also worked on the development of the learning model by integrating the extracted features, converting to relative coordinate and adding traffic light tags. The user appears to be familiar with the codebase and the use of traffic light detection.
autonomousmachine-learningautonomyautonomous-drivingapollo
jmtao/apollo
Dec 2018 - May 2019
An open autonomous driving platform
Contributions:231 pushes, 5 branches in 4 months
autonomousmachine-learningautonomous-drivingmavlinkdriving
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