Worked on the yhyang201/sglang repository, focusing on improving code quality and maintainability within deep learning infrastructure. The primary contribution involved refactoring decoder layer classes by removing the unused op_mlp method, which reduced dead code and streamlined the codebase for future development. This targeted cleanup, implemented in Python, aimed to lower technical debt and simplify onboarding for new contributors, making the project more accessible and easier to maintain. The work was carefully documented with clear traceability through pull requests and commit history, supporting future audits and reviews. Skills applied included Python, deep learning, and machine learning best practices.