Summary
Ryo Takahashi is a team lead and embedded systems specialist with nine years of experience building efficient ML and intelligent systems for resource-constrained devices. At Woven by Toyota he led the company’s first in-house CNN training and deployment for Advanced Drive and automated end-to-end MLOps workflows using Kubeflow, AWS, GitHub Actions and other infrastructure tools. Previously at Sony he architected and shipped neural network runtimes for FreeRTOS, NuttX and bare-metal targets, contributed to NNabla and the SPRESENSE SDK, and conducted sensor-signal research in an international setting. He combines low-level embedded expertise with cloud-native deployment practices, currently driving a next-generation SDK for the Arene platform. Based in Chiyoda, Japan, he is a transport-minded creative technologist who focuses on making computers, people and economics move efficiently. An uncommon strength is his ability to bridge embedded runtime optimizations with scalable MLOps pipelines, turning research prototypes into operational systems.
9 years of coding experience
7 years of employment as a software developer
Master of Science in Engineering, Computer Science, Master of Science in Engineering, Computer Science at Keio university
Japanese, English