Worked on the APPFL/APPFL repository over two months, focusing on improving code reliability and maintainability through targeted bug fixes and documentation updates. Addressed a critical issue in the Globus Compute Run Script by removing a duplicated ArgumentParser, which streamlined command-line parsing and reduced runtime errors. Enhanced dataset management by correcting Dirichlet Non-IID naming and implementing cross-platform path handling using Python’s os.path.join. Improved code clarity by fixing comment typos and updating API documentation for better onboarding and support. Demonstrated attention to detail and proficiency in Python scripting, bug fixing, and documentation, contributing to a more robust and maintainable codebase.