Ueno Yoshihiko
Platform Software Engineer
Yokohama, Japan
Summary
👤
Senior🎓
Top SchoolUeno Yoshihiko is a platform software engineer and master's student at Tokyo Institute of Technology with 8 years of experience applying deep learning across medical imaging, NLP, sensor signals, and vision tasks. He researches prostate cancer detection from MRI while working at SoftBank, blending academic rigor with production-focused engineering gained through roles at Cross Compass and Pharma Information Network. His background includes building document-to-database pipelines and web interfaces for model reasoning, and a research internship at IBM Research Tokyo on semi-supervised human posture estimation. On GitHub he contributed backend fixes and integration work to the well-known pycma project, improving dependency management and optimizer logging—evidence of pragmatic open-source collaboration. Based in Yokohama, he combines domain-specific ML expertise with hands-on platform development to move research methods toward deployable systems.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Tokyo Institute of Technology
English, Japanese
Github Skills (9)
algorithm10
python10
optimizers10
optimisation10
numpy10
optimization10
package9
package-management9
package-manager9
Programming languages (8)
Github contributions (5)
CMA-ES/pycma
Apr 2020 - Jun 2020
Python implementation of CMA-ES
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 2 PRs, 1 comment in 2 months
Contributions summary:Ueno primarily contributed to the development of a Python wrapper for the `scikit-optimize` library, integrating it with the `cma-es` algorithm. They updated the project's `setup.py` file to correctly declare dependencies and moved `scikit-optimize` to the extras. The user also made improvements to the cma logger handling and fixed a bug related to how the initial values (x0) are transformed.
pythonpython-implementationtoolboxoptimizationmultiobjective-optimization
yoshihikoueno/ExperimentScheduler
Sep 2019 - Nov 2022
A lightweight GPU scheduler to manage processes across many servers for efficient DNN development.
Contributions:72 commits, 126 pushes, 27 branches in 3 years 2 months
deep-learninggpuschedulergpu-schedulerldap
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.