In September 2025, Keanu focused on enhancing the reliability of oneapi-src/oneDNN by addressing a critical bug in the AArch64 CPU kernel. He corrected a logical error in the post-operation dtype comparison between bf16 and f16, which previously led to misidentification of unsupported data type combinations and potential runtime errors. Working in C++ and leveraging his expertise in ARM architecture and CPU kernel development, Keanu’s targeted fix improved the correctness of mixed-precision post-operations. This contribution strengthened the stability of deep neural network workloads on ARM-based systems, ensuring more dependable deployment of bf16 and f16 models in production environments.