Shumpei Wakabayashi
Group Lead at TIER IV
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolShumpei Wakabayashi is a Group Lead based in Tokyo with seven years of hands-on experience building and integrating software for autonomous systems. He progressed through engineering and leadership roles at Tier IV, moving from system integration engineer to team lead and now group lead for passenger system integration and reference design. Technically focused on ROS and back-end development, his open-source contributions to high-profile projects like Autoware.Universe and jsk_recognition show practical fixes and feature work that improved emergency handling, route validation, perception synchronization, and TF safety. He blends academic rigor from The University of Tokyo and Kyoto University with real-world embedded and cloud experience gained via internships at Sony, Microsoft, and Honda Research Institute. Known on GitHub by the motto "Open Heart, Open Mind, Open Source," he brings a collaborative, detail-oriented approach that surfaces subtle reliability improvements in complex robotics stacks. Colleagues describe him as a leader who still prefers rolling up his sleeves to fix tricky integration bugs himself.
7 years of coding experience
5 years of employment as a software developer
University of TokyoBachelor's degree, Mechanical and Systems Engineering, Bachelor's degree, Mechanical and Systems Engineering at Kyoto UniversityMechatronics, Robotics, and Automation Engineering, Mechatronics, Robotics, and Automation Engineering at RWTH Aachen University
Github Skills (15)
pcl10
router10
c-language10
routing-controllers10
routes10
cprogramming-language10
ros10
autonomous-driving10
routers10
missionplanner9
jsr9
tfs9
planning9
computer-vision9
system-design8
Programming languages (15)
Github contributions (5)
autowarefoundation/autoware_universe
Apr 2022 - Jan 2023
Role in this project:
Back-end Developer
Back-end DeveloperContributions:648 reviews, 27 commits, 188 PRs in 8 months
Contributions summary:Shumpei primarily contributed to the Autoware.Universe repository by fixing bugs and implementing features related to the Autoware stack. They addressed issues in the emergency handler, added an emergency button to a Rviz plugin, and corrected various aspects of the system, including QoS settings and logging. The user also worked on code related to route validation and checking, ensuring the robustness of the autonomous driving system.
autowareros23d-mapcalibrationros
jsk-ros-pkg/jsk_recognition
Oct 2020 - Sep 2021
JSK perception ROS packages
Role in this project:Backend Developer
Backend DeveloperContributions:6 reviews, 22 commits, 3 PRs in 11 months
Contributions summary:Shumpei primarily contributed to the `jsk_recognition` ROS packages, focusing on modifying and enhancing existing components. Their work involved adding parameters for time synchronization in depth image creation and adjusting the `publish_tf` functionality in the cluster point indices decomposer. These changes included modifying the code to prevent interference with other transformations and correcting the default values and data types of parameters. These modifications likely improved the performance and stability of the perception pipelines.
ros-packagesrosperception
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