Jerry Chen developed a GIL-based I/O concurrency optimization for the Mooncake Store component in the kvcache-ai/Mooncake repository. Focusing on Python and C++, Jerry engineered the put_tensor and get_tensor operations to release the Global Interpreter Lock during I/O-bound execution, allowing other Python threads to proceed concurrently. The GIL was reacquired only when direct Python object manipulation was required, which reduced I/O bottlenecks and improved overall throughput for store operations. This work demonstrated a strong grasp of concurrency and performance optimization, laying a technical foundation for future enhancements while addressing a key scalability challenge in Python-based data stores.