During March 2025, Dmitry Smertin enhanced the HabanaAI/optimum-habana-fork repository by refactoring the device naming process within the test infrastructure. He introduced a dedicated get_device_name utility, replacing direct dependencies on torch_hpu and unifying device detection across the test suite. This Python-based solution improved the reliability and maintainability of CI/CD pipelines by ensuring consistent device naming and reducing test flakiness. Dmitry’s work focused on device management and testing, laying groundwork for future improvements in device detection. The depth of the refactor addressed both immediate stability concerns and long-term maintainability, reflecting a thoughtful approach to infrastructure engineering challenges.