I-kuei Chen
Senior Software Engineer at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolI-kuei Chen is a Senior Software Engineer with 10 years of experience building high-impact backend systems, search and ads quality, and production ML/DL pipelines across Google, Baidu, and NVIDIA. At Google he has driven measurable improvements in Search Ads relevance and geo search quality using advanced machine learning and rigorous A/B experimentation. His autonomous driving work includes camera-based 3D perception, real-time tracking, and camera geometry transformations—contributions visible in the prominent Apollo open-source driving platform. Trained in electrical and computer science at National Taiwan University and UT Austin, he combines signal-level sensor expertise with large-scale search and ads engineering. Known for bridging research and production, he brings both low-level vision competence and product-focused impact to complex, real-time systems.
10 years of coding experience
2 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at The University of Texas at AustinMaster of Science (M.S.) Electronics Engineering, Master of Science (M.S.) Electronics Engineering at National Taiwan University
Chinese, English
Github Skills (9)
object-tracking10
computer-vision10
c-language10
eigen10
cprogramming-language10
camera-calibration10
autonomous-driving10
perception10
machine-learning9
Programming languages (1)
Github contributions (5)
ApolloAuto/apollo
Feb 2018 - May 2018
An open autonomous driving platform
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:57 commits, 74 PRs, 25 pushes in 3 months
Contributions summary:I-kuei's commits primarily focus on the development and modification of camera perception modules within the Apollo autonomous driving platform. The contributions involve implementing and refining core components related to object detection, tracking, and 3D conversion, indicating a strong focus on computer vision tasks. They have made significant changes to the geometry camera converter and object filters, showcasing expertise in processing and transforming camera data. Additionally, the user also worked on the KCF tracker, demonstrating knowledge in utilizing machine learning techniques for object tracking.
autonomousmachine-learningautonomyautonomous-drivingapollo
eugenegx/apollo
Feb 2018 - Jul 2018
An open autonomous driving platform
Contributions:349 pushes, 71 branches in 4 months
autonomousmachine-learningautonomous-drivingmavlinkdriving
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