Xiaoshu Liu
Senior Mechanical Design Engineer at Tesla
California, United States
Summary
👤
Senior🎓
Top SchoolXiaoshu Liu is a Senior Mechanical Design Engineer based in California with 10 years of experience bridging mechanical systems, control theory, and applied machine learning. With dual MS degrees in Computational Science & Engineering and Mechanical Engineering from Georgia Tech and Stuttgart, Xiaoshu combines rigorous simulation and data-driven methods to solve complex robotics and vehicle systems problems. At Tesla he progressed from Mechanical Design Engineer to a senior role, bringing hands-on expertise in mechanical design, controls, and integration for production hardware. An active contributor to the Apollo autonomous driving platform, he has modified C++ perception modules to improve lane detection and integrate new models into a high-profile open-source stack. Xiaoshu’s background as a head TA and student government leader highlights his ability to mentor peers and coordinate cross-functional teams under tight deadlines. He pairs deep technical breadth with practical deployment experience, especially at the intersection of perception algorithms and mechanical system implementation.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computational Science and Engineering, 3.9, Master of Science - MS, Computational Science and Engineering, 3.9 at Georgia Institute of TechnologyMaster’s Degree, Maschinenbau, Master’s Degree, Maschinenbau at University of StuttgartUniversity of Illinois Urbana-Champaign
Github Skills (8)
computer-vision10
c-language10
apollo10
cprogramming-language10
autonomous-driving10
eigen9
machine-learning8
python6
Programming languages (3)
Github contributions (5)
ApolloAuto/apollo
Jun 2018 - Aug 2018
An open autonomous driving platform
Role in this project:
Back-end & ML Engineer
Back-end & ML EngineerContributions:39 commits, 8 PRs, 18 comments in 2 months
Contributions summary:Xiaoshu primarily contributes to the perception modules of the Apollo autonomous driving platform. Their work involves updating and modifying C++ code within the perception framework. They are focused on improving lane detection and post-processing, with changes related to the `connected_component.cc` and `cc_lane_post_processor.cc` files. The user also demonstrates expertise in modifying configuration files and integrating new model activation, suggesting a role in integrating models into the overall system.
autonomousmachine-learningautonomyautonomous-drivingapollo
xiaoshuliu/apollo
Jun 2018 - Aug 2018
An open autonomous driving platform
Contributions:42 pushes in 1 month
autonomousmachine-learningautonomous-drivingautopilotmavlink
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