Yusuke Kominami is a data engineer with eight years of experience applying machine learning, numerical methods, and algorithm design to real-world products across startups and large enterprises in Tokyo. Trained in biology and bioinformatics at Kyoto University with an exchange in computer science at EPFL, he blends domain knowledge in protein-structure prediction with hands-on ML engineering, including deep reinforcement learning research at Hitachi. He has built recommendation engines, financial-data analytics systems, and performance-tuned code (including GPGPU) while shipping production work at SoftBank, hey, Inc., and other firms. An author of a 100+ page Japanese primer on reinforcement learning as an undergraduate and an avid hobbyist developer (creator of a Sokoban game), he brings both theoretical depth and a maker’s curiosity. Comfortable across Python, C/C++, Java and ML frameworks like PyTorch and TensorFlow, he also contributes to the Rust community as CEO of ksquadjp. Practical, research-minded, and communication-focused, he often bridges research planning and engineering execution.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Biology, General, Bachelor's degree, Biology, General at Kyoto University
Bachelor of Engineering - BE, Computer Science, Exchange, Bachelor of Engineering - BE, Computer Science, Exchange at EPFL (École polytechnique fédérale de Lausanne)
Contributions:172 commits, 5 PRs, 184 pushes in 2 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.