Worked on the Tencent/ncnn repository to address a critical stability issue in the SSE ShuffleChannel implementation. Focused on fixing a buffer overflow bug that occurred when processing the last channel, the developer tightened loop conditions and refined assignments to ensure safe handling of edge-case data. This patch improved the reliability of the SSE-optimized path for real-time inference, directly supporting platform stability goals. The work required expertise in C++ and low-level programming, with an emphasis on algorithm design and performance optimization. By resolving this edge-case bug, the developer contributed to safer, more robust processing for real-time machine learning workloads.