Sohei Koyama

Engineer at DDN Storage

Tsukuba, Japan
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Summary

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Senior
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Top School
Sohei Koyama is an engineer at DDN Japan and a Ph.D. candidate in computer science at the University of Tsukuba, bringing nine years of practical experience in high-performance computing and parallel file systems. He combines industry work on storage solutions with academic research, enabling him to bridge hands-on implementation and rigorous system design. His open-source contributions include backend improvements to the popular Optuna hyperparameter optimization framework, where he fixed threading bugs and improved documentation and code clarity. Based in Tsukuba, he focuses on reliability and performance at scale, particularly around storage and I/O subsystems. Colleagues describe him as detail-oriented and methodical, with a knack for spotting subtle issues in concurrency and documentation that improve long-term maintainability.
code9 years of coding experience
bookMaster's degree, Computer Science, Master's degree, Computer Science at 筑波大学
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Github Skills (8)

hyperparameter-optimization10
python10
thread9
multithreading9
hyper-threading9
machine-learning9
threaded9
documentation8

Programming languages (13)

JavaC++CSSCElmVueGoHTML

Github contributions (5)

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optuna/optuna

Aug 2020 - Feb 2021

A hyperparameter optimization framework
Role in this project:
userBack-end Developer
Contributions:5 commits, 3 PRs, 7 comments in 5 months
Contributions summary:Sohei focused on improving the Optuna framework by addressing internal processes and code quality. Their contributions include fixing threading issues within the dashboard, removing unused arguments, and correcting documentation. Additionally, the user fixed formatting issues, specifically correcting ideographic spaces and symbols within the documentation and code comments. This user's commits demonstrate a dedication to code clarity and documentation quality.
pythonoptimization-frameworkparallelhyperparameteroptimization
Contributions:24 PRs, 143 pushes, 19 branches in 10 months
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