Toshihiko Yanase
Engineer at Preferred Networks, Inc.
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolToshihiko Yanase is an engineering manager and research-driven software engineer based in Tokyo with a Ph.D. from the University of Tokyo and over a decade of experience applying machine learning, deep learning, and evolutionary computation to real-world problems. After researching intelligent behavior acquisition for humanoid robots, he spent eight years at Hitachi advancing NLP and large-scale data processing before joining Preferred Networks in 2018 to work on industrial applications of black-box optimization and deep learning. He led the Optuna open-source development team, blending hands-on Python engineering with product-focused leadership to scale optimization tooling for ML workflows. Known for bridging rigorous academic research and production systems, he brings deep expertise in LLMs, optimization frameworks, and parallel processing infrastructures.
10 years of coding experience
8 years of employment as a software developer
博士（科学）, 新領域創成科学研究科基盤情報学専攻, 博士（科学）, 新領域創成科学研究科基盤情報学専攻 at 東京大学
Github Skills (72)
parallel10
python10
forge10
hyperparameter-optimization10
optuna10
optimization10
hydra10
conda10
machine-learning10
pytorch-lightning10
conda-forge9
markdown9
evolutionary9
restructuredtext9
dashboard9
Programming languages (8)
Github contributions (5)
toshihikoyanase/optuna-examples
Jul 2018 - Nov 2022
Contributions:165 commits, 8 PRs, 31 pushes in 4 years 5 months
toshihikoyanase/mong
Dec 2019 - Apr 2021
A Python port of the Moby name generator, which creates random but readable names like those used for Docker containers.
Contributions:8 releases, 93 commits, 88 PRs in 1 year 4 months
pythonpython3mobyname-generatorname-generation
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