Worked on the vllm-gaudi repository, focusing on both performance optimization and code maintainability using Python. Delivered a unit test for the Gaudi plugin that validated automatic prefix caching, ensuring prompt token reuse and improved system efficiency through AI hardware acceleration and caching techniques. In addition to feature development, addressed test suite quality by refactoring code to remove redundant variables, simplifying logic without altering existing behavior. Prioritized robust testing and maintainable code, enhancing future contributor experience and reducing misconfiguration risks. Demonstrated disciplined version control practices by linking changes to tracked issues, emphasizing traceability and clarity throughout the development process.