Eddie Zhou developed ROCm 7.2 backend support for PyTorch in the astral-sh/uv repository, focusing on expanding GPU compatibility for AMD users. He updated backend handling and architecture enumeration in Rust to accommodate new ROCm versions, aligning device support with Torch CUDA architecture lists. Eddie incorporated a comprehensive test plan and collaborated on verification through co-authored commits, ensuring robust validation and cross-team review. His work leveraged GPU programming and backend development skills, enabling PyTorch workloads on a broader range of ROCm 7.2-capable GPUs. This reduced integration risk for downstream machine learning workloads and improved compatibility for AMD-based environments.