Aaron Oh focused on improving the maintainability of the optuna/optuna repository by removing dead and unused code, as well as standardizing code formatting. Using Python and leveraging static analysis tools alongside LLM-assisted verification, Aaron identified obsolete functions and variables across core modules and safely eliminated them without altering existing behavior. The work included cleaning up formatting with ruff format to ensure consistency throughout the codebase. These efforts reduced technical debt and enhanced code readability, laying a stronger foundation for future development. Aaron’s contributions centered on software maintenance, code refactoring, and static analysis, supporting faster onboarding and safer ongoing improvements.