Hiroaki Natsume
Chief Engineer at hrntsm
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolHiroaki Natsume is a Tokyo-based structural and computational engineer with eight years of experience blending architecture, structural design, and software development. As Chief Engineer at Nature Architects and developer of Grasshopper plugins Tunny and HoaryFox, he builds cross-platform workflows that streamline structural analysis and design production. His background includes hands-on structural work on seismically isolated buildings and a 250m mixed-use skyscraper at KUME Sekkei, and he continues to advance computational engineering through teaching and open-source contributions. On GitHub he has contributed to core features and stability of the Optuna optimization framework, reflecting a comfort with backend engineering and numerical tooling beyond typical AEC workflows. Trained at Waseda University, he combines practical large-scale project experience with tooling development that tightens the loop between design and analysis.
8 years of coding experience
3 years of employment as a software developer
修士（工学）, 創造理工学研究科建築学専攻, 修士（工学）, 創造理工学研究科建築学専攻 at 早稲田大学 WASEDA University
Github Skills (6)
hyperparameter-optimization10
machine-learning10
python10
optuna10
documentation9
testing9
Programming languages (7)
Github contributions (5)
optuna/optuna
Dec 2022 - Jan 2023
A hyperparameter optimization framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 2 commits, 8 PRs in 10 days
Contributions summary:Hiroaki primarily contributed to enhancing the Optuna framework by addressing various issues and adding new functionalities. This included fixing links in the documentation related to the CMAEvolutionStrategy, and adding documentation to specify FileOpenLock code in JournalStorage. Further, the user updated the optimization history and related tests to support constraints and pruning functionality, indicating involvement in core framework components. These changes suggest a focus on improving the framework's stability, documentation, and feature set.
pythonoptimization-frameworkparallelhyperparameteroptimization
hrntsm/Tunny
Mar 2022 - Jan 2023
🐟Tunny🐟 is Grasshopper's optimization component using Optuna, an open source hyperparameter auto-optimization framework.
Contributions:31 releases, 425 commits, 524 PRs in 10 months
optimization-frameworkgrasshopper3dgrasshopperhyperparameteroptimization
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