Daichi Kobayashi
ITコンサルタント at ノースサンド
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolDaichi Kobayashi is an IT consultant and software engineer with four years of experience building secure web and embedded systems, currently working as a PMO at North Sand while running parallel website build and large-scale migration projects for member organizations. He has hands-on experience across the stack—C, Ruby on Rails, React/Next.js, Spring—and has architected AWS infrastructure with CDK to lift municipal applications into Japan’s Government Cloud. Daichi brings a security-first mindset from developing email security systems and holds certifications including Information Technology Security Assistants, Applied Information, and AWS SAA/DVA. He combines agile product delivery with careful cross-team coordination learned on embedded-system projects that required tight module ownership and inter-team communication. An active open-source contributor, he improved Optuna’s dashboard docs and implemented an artifact download feature, reflecting his focus on usability and developer experience. Unusually for an engineer, he also studied violin seriously at a music college before his tech career, a background that informs his disciplined, detail-oriented approach.
5 years of coding experience
工学部, コンピュータ理工学科, 工学部, コンピュータ理工学科 at 山梨大学
Github Skills (7)
hyperparameter-optimization10
artifact10
python10
artifacts10
documentation10
artifactory10
machine-learning9
Programming languages (3)
Github contributions (5)
optuna/optuna
Feb 2024 - Mar 2025
A hyperparameter optimization framework
Role in this project:
Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:48 reviews, 22 PRs, 38 comments in 1 year 1 month
Contributions summary:Daichi primarily contributed to the Optuna project by adding and modifying documentation related to the Optuna Dashboard and artifacts. Their work included adding new sections, code examples, and images to the documentation to explain how to use the dashboard and download artifacts. They also implemented the download artifact feature and improved code formatting, demonstrating their focus on improving the user experience and the project's usability.
hyperparameter-optimizationpythonmachine-learningparalleldistributed
porink0424/py-tris
Feb 2022 - Nov 2022
Tetris AI for puyopuyo-tetris built with Python
Contributions:7 reviews, 108 commits, 11 PRs in 9 months
aipython
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