Worked on improving the reliability and resource management of the volcengine/verl backend, focusing on distributed systems using the Ray framework and Python. Addressed a critical issue where improper shutdown of Ray after initialization could cause resource leakage during Ascend NPU TBE task execution. Implemented a lifecycle guard to ensure Ray is properly terminated, reducing the risk of resource exhaustion and runtime errors in NPU workloads. No new user-facing features were added during this period, as the primary effort centered on backend stability and code quality, enhancing the predictability and maintainability of distributed workloads in the volcengine/verl repository.