Ching-hsin Fang
MLOps Lead at Persona AI Inc
Houston, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolChing-hsin Fang is an MLOps Lead with 11 years of robotics and software engineering experience, currently building and scaling multi-purpose humanoid robots in Houston. He blends hands-on systems engineering with research-grade rigor from roles at Toyota Research Institute, where he led large-scale training infrastructure for multi-task robot learning and contributed 50+ pull requests to the Drake robotics stack. Comfortable across simulation, rendering, perception, and deployment, he architected RPC rendering for Drake and optimized cluster startup, cloud provisioning, and simulation throughput to enable massive experiments. Earlier work includes navigation and sensor calibration for an Olympic telepresence robot and end-to-end robotics software at early-stage robotics startups, reflecting deep productization experience. Known for strong teamwork and code quality stewardship, he pairs practical engineering with open-source contributions that improve reproducibility and tooling in robot simulation.
11 years of coding experience
9 years of employment as a software developer
Bachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at National Taiwan UniversityMaster's degree Robotics, Master's degree Robotics at Carnegie Mellon University
Chinese, English
Github Skills (5)
robotics10
c-language10
cprogramming-language10
drake10
vtk9
Programming languages (6)
Github contributions (5)
RobotLocomotion/drake
Jan 2021 - Jan 2023
Model-based design and verification for robotics.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:397 reviews, 39 commits, 78 PRs in 2 years
Contributions summary:Ching-hsin's contributions primarily involve modifications to the Drake robotics library's schema and rendering example code. The user fixed comments in the stochastic schema code, ensuring accuracy. They created a minimal rendering example for the RenderEngineVtk, demonstrating their understanding of the library's rendering features. Further contributions included modifying camera pose configuration.
model-basedmodel-based-designroboticsdrakeverification
zachfang/drake
Nov 2021 - Mar 2023
Model-based design and verification for robotics.
Contributions:48 commits, 5 PRs, 633 pushes in 1 year 4 months
model-basedmodel-based-designroboticsverification
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