Yahsiu Hsieh
Software Develpment Engineer at Torc Robotics
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolYahsiu Hsieh is a Software Development Engineer with 8 years of experience focused on safety-critical autonomy, currently improving data pipelines and motion-control reliability at Torc Robotics in Austin. He combines a strong academic foundation in electrical and computer engineering with hands-on expertise in motion planning, controls, reinforcement learning, and deep learning. At Torc he built scalable AWS-backed data analysis workflows that automate root-cause ticketing and accelerated data processing via parallelization and data-lake design. His research work married GANs with bidirectional RRT and information-bottleneck encoders to boost constrained motion planning success, and he has delivered real-time planning and PID control for maritime robotics competitions. Comfortable both as a developer and scrum master, he blends rigorous testing and code-coverage improvements with cross-functional facilitation to move safety-critical features from prototype to production.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electronics Engineering, Bachelor's degree, Electronics Engineering at National Chiao Tung UniversityUniversity of California, San Diego
English, Chinese
Github Skills (38)
latex8
decision-making8
tex8
deep-q-learning8
pdf8
overleaf8
simulation7
ros6
resume6
sharelatex6
refer6
localization6
3d6
openai-gym6
ignition6
Programming languages (5)
Github contributions (5)
coldhenry/Model-Predictive-Control-of-Autonomous-Car
Feb 2021 - Mar 2021
Contributions:37 commits, 2 PRs, 30 pushes in 1 month
yahsiuhsieh/dqn-dense-traffic
Dec 2020 - Dec 2020
Decision Making in Dense Traffic using Deep Q-Learning
Contributions:35 commits, 2 PRs, 34 pushes in 6 days
deep-q-learningreinforcement-learningdecision-making
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