During August 2025, Minfhong Hong focused on improving the ONNX Runtime’s QNN Execution Provider by addressing a critical bug in the microsoft/onnxruntime repository. He revised the PoolOpBuilder component to correctly process 5D input shapes, refining input-shape validation and adjusting pooling function call paths. This C++ work ensured accurate output shape calculation for pooling operations, preventing misinference and assertion failures in Debug builds. By applying algorithm design and advanced debugging skills, Minfhong enhanced model fidelity and stability for 5D tensor workloads, reducing debugging time for contributors and improving production inference reliability. The contribution demonstrated careful attention to runtime correctness.