Riki Otaki
PhD Candidate
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolRiki Otaki is a PhD candidate at the University of Chicago and a software engineer with eight years of experience focused on backend development and quality assurance. Based in Chicago, Riki contributes to prominent open-source projects such as Optuna, where they strengthened reliability by implementing unit tests for various suggestion functions and fixing cross-library test issues. They combine academic rigor with practical engineering, emphasizing test-driven development and reproducible experimentation in ML tooling. An often-overlooked strength is their knack for improving test coverage around storage and multi-objective visualization, which helps surface subtle bugs before deployment.
8 years of coding experience
University of Chicago
Github Skills (7)
unit-testing10
hyperparameter-optimization10
pytest10
python10
optuna10
testing10
machine-learning9
Programming languages (8)
Github contributions (5)
optuna/optuna
Jun 2022 - Sep 2022
A hyperparameter optimization framework
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:37 reviews, 141 commits, 10 PRs in 3 months
Contributions summary:Riki primarily worked on the Optuna library, focusing on test-related code changes. They implemented unit tests for various suggest functions and distributions, including uniform, loguniform, discrete uniform, and integer suggest functions. Additionally, the user modified existing tests related to storage and multi-objective visualization functionalities, indicating a focus on testing and ensuring the library's accuracy and reliability. They also fixed test issues with Chainer pruning and reverted a test change.
pythonoptimization-frameworkparallelhyperparameteroptimization
rotaki/tpcc-runner
Apr 2021 - Feb 2022
An implementation of various in-memory concurrency control protocols
Contributions:154 commits, 1 PR, 136 pushes in 9 months
memorytpcbenchmarkdatabaseportable
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