During November 2025, Perry Zhang developed ROCm EPLB support for AMD hardware within the IBM/vllm repository, enabling Expert Parallelism Load Balancing on ROCm devices and updating validation logic to accommodate both ROCm and CUDA backends. He enhanced compressed tensor methods by introducing EPLB-specific assertions, improving reliability for deep learning workloads. In the ROCm/aiter repository, Perry addressed a kernel string formatting error in the paged_mqa_logits function, increasing code correctness and readability. His work demonstrated effective cross-repository collaboration and code quality improvements, leveraging Python, deep learning frameworks, and parallel computing techniques to address hardware compatibility and maintainable kernel code.