During January 2025, Zhaofeng developed ROCm Prefill-Decode (pd separation) support for the alibaba/rtp-llm repository, focusing on enhancing synchronization and efficiency for attention mechanisms on ROCm GPUs. He introduced a new ROCm event lifecycle, enabling more precise creation and management of synchronization events, which improved task coordination within device management workflows. By integrating cache storage into the context attention path, Zhaofeng addressed performance bottlenecks and increased throughput for attention workloads. His work, implemented in C++ and leveraging both CUDA and ROCm, demonstrated a deep understanding of performance optimization and device-level programming within a complex, production-scale codebase.