Qiang Han worked on the ROCm/rocm-systems repository, focusing on improving stability and reliability for multi-GPU workloads in high-throughput training environments. He addressed a heap overflow issue in the InterceptQueue by resizing the staging buffer to match the ring buffer size, which prevented nondeterministic SIGSEGV errors during large-scale operations such as FP8 quantization on multiple MI355X GPUs. Using C++ and leveraging his expertise in GPU and system programming, Qiang clarified the buffer sizing logic in the codebase, enhancing maintainability. His work demonstrated careful attention to low-level memory management and contributed to more robust multi-GPU training pipelines in ROCm.