Tetsuo Watanabe
ソフトウェアエンジニア at Tier IV
Tokyo, Japan
Summary
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Rockstar🎓
Top SchoolTetsuo Watanabe is a ソフトウェアエンジニア based in Tokyo with nine years of recent experience and a long history of game and systems engineering from Sony Interactive Entertainment. He blends academic rigor (Master's from Waseda) and a Ph.D.-level background in control theory, numerical simulation, and optimization to deliver production-grade autonomous driving software at Tier IV, including implementing and porting a pure pursuit control node in the widely used Autoware.Universe. Previously he applied automation and integration expertise as an RPA consultant at UiPath Japan and shipped networked gaming applications for PlayStation platforms, demonstrating strong systems thinking across real-time, embedded, and cloud-adjacent domains. Colleagues know him for digging into memory leaks and routing logic to harden behavior path planning—work that reflects both hands-on debugging and algorithmic depth.
9 years of coding experience
16 years of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at 早稲田大学 WASEDA University
Github Skills (11)
algorithm10
algorithms10
c-language10
planning10
missionplanner10
cprogramming-language10
ros10
autonomous-driving10
implement10
control-systems9
python4
Programming languages (5)
Github contributions (5)
autowarefoundation/autoware_universe
Jan 2022 - Jan 2023
Role in this project:
Back-end Developer
Back-end DeveloperContributions:626 reviews, 35 commits, 264 PRs in 1 year
Contributions summary:Tetsuo primarily contributed to the Autoware.Universe repository by implementing and porting the pure pursuit control algorithm. Their work included integrating the pure pursuit node, a crucial component for autonomous vehicle control, into the existing framework. Further contributions addressed memory leak problems in the OSQP interface, improved the route handler with backward search logic, and resolved various issues related to behavior path planning. These changes demonstrate an understanding of autonomous driving algorithms and the underlying software architecture.
autowareros23d-mapcalibrationros
rej55/autoware.universe
Dec 2021 - Mar 2025
Contributions:10 PRs, 324 pushes, 221 branches in 3 years 2 months
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