Yusuke Muramatsu is a seasoned consultant and engineer with nine years of experience applying cloud and systems re-engineering to streamline operations and reduce costs for enterprise clients. Early work at Nomura Research Institute involved integrating legacy host systems with web order platforms to eliminate redundant processes, and at Deloitte Tohmatsu he helped clients boost profitability through methodical business re-engineering. He pairs an engineering background from Keio with an MBA from UBC, enabling him to translate technical refactors into measurable business outcomes. As an open-source contributor, he has improved Autoware perception components—optimizing lidar_centerpoint by removing heavyweight dependencies and adding IoU-based NMS—to make autonomous perception modules leaner and more modular. Pragmatic and results-focused, he excels at turning complex legacy landscapes into efficient, cloud-ready systems.
9 years of coding experience
Master of Business Administration (MBA), Master of Business Administration (MBA) at The University of British Columbia / UBC
Bachelor of Engineering (B.E.), Administration Engineering, Bachelor of Engineering (B.E.), Administration Engineering at Keio University
Contributions:245 reviews, 19 commits, 75 PRs in 9 months
Contributions summary:Yusuke primarily worked on the `lidar_centerpoint` component, focusing on optimizing and refactoring the code. They removed dependencies like `libtorch`, added IoU-based NMS, changed default threshold params, made the component into a shared library, and integrated it with other modules. Their contributions included enhancing the existing codebase and improving the efficiency of the perception system within the Autoware.Universe project.
Contributions:41 commits, 26 pushes, 3 branches in 4 years 7 months
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