Jinghao Miao
Director at Bot Auto
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJinghao Miao is a Director and engineering leader with 8+ years driving ML and deep learning solutions for autonomous driving, online advertising, and search monetization, currently leading at Bot Auto in the San Francisco Bay Area. He has repeatedly translated research into production at scale—managing Baidu’s Apollo teams, contributing prediction and container-management components to the well-known Apollo open-source autonomous driving platform, and leading prediction and planning ML at TuSimple. His strengths combine rigorous PhD-level algorithm design with hands-on systems implementation, including real-time traffic prediction and ad optimization that materially boosted CTR and revenue in prior roles. Known for building and motivating cross-functional teams, he bridges research, engineering, and product to deliver deployable AI systems. An early career focus on analytics and Hadoop/Hive-based pipelines complements his deep learning expertise, enabling end-to-end solutions from data infrastructure to model deployment.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Iowa State UniversityBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Fudan University
English, Chinese
Github Skills (10)
web-framework10
php-framework10
c-language10
apollo10
cprogramming-language10
autonomous-driving10
netframework10
algorithms8
algorithm8
testing7
Programming languages (3)
Github contributions (5)
ApolloAuto/apollo
Jul 2017 - Sep 2020
An open autonomous driving platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 94 reviews, 908 commits in 3 years 2 months
Contributions summary:Jinghao's commits primarily involve adding and modifying code related to the "container manager" and "predictor" frameworks within the Apollo autonomous driving platform. This work includes the addition of new components such as "ObstaclesContainer," "PoseContainer," and "MoveSequencePredictor." Furthermore, the user's contributions span the creation and integration of various components, indicating a focus on building the core prediction functionalities within the Apollo software stack.
autonomousmachine-learningautonomyautonomous-drivingapollo
jinghaomiao/apollo
Jan 2018 - Sep 2020
An open autonomous driving platform
Contributions:3 commits, 82 PRs, 540 pushes in 2 years 9 months
crosswordautonomousmachine-learningautonomous-drivingmavlink
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