Summary
Takumi Saito is a freelance machine learning engineer based in Chiyoda, Japan, with a decade of experience delivering data-driven software across automotive and industrial domains. He blends hands-on ML, data science, and time-series analysis with a solid foundation in mechanical and electrical engineering, underpinned by a Master's in Mechanical Engineering from the University of Tokyo. His work spans ADAS map data analysis at Nissan and edge AI projects on Raspberry Pi for real-time object detection, as well as algorithmic trading using deep learning and RNNs. As a self-employed professional since 2020, he partners with teams to prototype, validate, and scale ML solutions from concept to production. He also studied at Technische Universität Darmstadt, reflecting a broader European perspective on engineering and research. In addition to coding, his GitHub bio highlights a practical, gamer-friendly approach to software—emphasizing reliable, results-driven engineering.
10 years of coding experience
1 year of employment as a software developer
Technischen Universität Darmstadt
University of Tokyo