Aditi focused on enhancing code readability and maintainability in the numpy/numpy repository by refactoring string formatting to use Python f-strings. Leveraging automated tooling such as Flynt, she systematically modernized the codebase, consolidating legacy string formatting into a standardized approach that reduces future technical debt. Her work emphasized minimizing functional risk by relying on automation, ensuring that the refactor did not introduce regressions. This targeted effort improved the overall clarity and consistency of the code, making it easier for future contributors to maintain and extend. Aditi’s contributions demonstrate proficiency in Python, code refactoring, and practical software development methodologies.