Worked on the open-edge-platform/edge-ai-libraries repository to enhance the reliability of the model download feature by implementing comprehensive unit tests in Python. Focused on covering successful download flows, error handling, and input validation, the work leveraged FastAPI, pytest, and mocking techniques to ensure robust test coverage. Updated documentation provided clear guidance for users to run the test suite, supporting smoother onboarding and integration with CI workflows. The improvements reduced the risk of deployment failures and increased maintainability, while collaboration with peers ensured alignment on testing standards and documentation practices. No major bugs were addressed, as efforts centered on reliability enhancements.