Worked on hardening the streaming subsystem in the MiroMindAI/MiroThinker repository, focusing on improving reliability during shutdown and resource cleanup. Addressed a resource management issue in the stream_events_optimized module by implementing an atexit handler to ensure the global cleanup_executor was properly terminated, reducing the risk of resource leaks. Resolved a race condition by sequencing queue closure after worker thread completion, and enhanced shutdown reliability by increasing the timeout and ensuring all futures were cancelled. Utilized Python for backend development, applying concurrent programming techniques to improve production stability. The work demonstrated depth in resource management and robust system teardown practices.