Yiling Qin contributed to the Genesis-Embodied-AI/Genesis repository by addressing a critical bug affecting hardware acceleration reliability. Using Python and leveraging skills in bug fixing and environment configuration, Yiling implemented a targeted fix for the Go2Env device assignment logic. The solution involved initializing the execution context’s device from the global settings, which resolved misconfigurations that previously led to incorrect hardware targeting across environments. This change was validated through targeted tests and code review, resulting in reduced runtime errors and improved reproducibility for hardware-accelerated inference workflows. The work demonstrated careful attention to code hygiene and traceability, focusing on robust deployment practices.