Worked on the BerriAI/litellm repository to refactor and enhance the Predibase API integration, focusing on improving code organization and maintainability. The project involved migrating the transform_request and transform_response methods, which streamlined how API requests and responses are handled. Emphasized robust error handling and more precise response parsing, resulting in more reliable and debuggable API interactions. Utilized Python for backend development, applying skills in API integration, error handling, and unit testing to lay a stronger foundation for future enhancements. The refactor supports easier onboarding for new contributors and enables faster iteration on the Predibase integration moving forward.