Worked on the ROCm/aiter repository to deliver a targeted stability and correctness fix for the ASM paged attention kernel. Addressed a critical issue by enforcing a strict head_size of 128, ensuring correct results for supported configurations while preventing invalid code paths. Introduced a runtime check in the CUDA entry point using C++ and CUDA, and implemented a safe fallback to the HIP kernel for unsupported head sizes. Consolidated validation logic to improve maintainability and runtime safety. The work focused on deep learning and performance optimization, resulting in safer execution and more robust kernel selection without impacting overall performance.