Worked on the google-ai-edge/ai-edge-torch repository, focusing on a comprehensive code quality initiative centered around Python development. The primary contribution involved refactoring code style across multiple Python files, with careful attention to line breaks and indentation to enhance readability and maintain consistency with established coding standards. This non-functional update did not introduce new features but instead targeted technical debt, making the codebase cleaner and more maintainable. By emphasizing code refactoring and code style improvements, the work established a stronger foundation for future development, enabling faster feature delivery, easier code reviews, and improved collaboration among contributors working within the project.