Yusuke Tsuzuku
Staff Software Engineer at Google DeepMind
United States
Summary
🤩
Rockstar🎓
Top SchoolYusuke Tsuzuku is a Staff Software Engineer with nine years of experience building large-scale ML and backend systems, currently contributing to Gemini projects at Google DeepMind. His career blends research and production engineering across top institutions—Google, Preferred Networks, RIKEN, and The University of Tokyo—grounded by a Master's in Computer Science from UTokyo. He has moved rapidly through engineering strata at Google, shipping multilingual and thinking capabilities for advanced models, and brings hands-on expertise in hyperparameter tooling from notable open-source contributions to Optuna. Comfortable at the intersection of research and software, he refactors legacy codebases, adds robust type hints, and designs data-aware features (e.g., trial duration handling) that improve reproducibility and visualization. Colleagues describe him as pragmatic and detail-oriented, able to translate academic rigor into production-ready systems that scale.
9 years of coding experience
7 years of employment as a software developer
University of Tokyo
Japanese, English
Github Skills (9)
hyperparameter-optimization10
machine-learning10
python10
data-science10
dataframe9
testing9
dataframes9
scikit8
scikit-learn8
Programming languages (3)
Github contributions (5)
optuna/optuna
Apr 2020 - Jul 2021
A hyperparameter optimization framework
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:16 reviews, 241 commits, 50 PRs in 1 year 3 months
Contributions summary:Yusuke primarily contributed to the hyperparameter optimization framework by adding features related to trial duration and integrating it into existing data structures such as `FrozenTrial` and dataframes. The user also improved the codebase by handling cases where the trial start/complete times were unavailable and refactored the code to use type hints instead of comments. They also added a visualization example script and added number properties to `FixedTrial` and `BaseTrial` interfaces, and removed the f-strings from the notebook for python3.5 support.
pythonoptimization-frameworkparallelhyperparameteroptimization
ytsmiling/optdash
Oct 2020 - Aug 2021
A third-party dashboard for optuna.
Contributions:1 release, 43 commits, 17 pushes in 10 months
third-partyoptunapartydashboard
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