In November 2024, Fadi Arafeh developed BF16 indirect convolution support for the aarch64 architecture in the uxlfoundation/oneDNN repository. He re-enabled the ACL backend for BF16 data types, ensuring the correct convolution algorithm was selected when BF16 was valid and no post-operations were present. Fadi extended BF16 support to operate alongside FP16 and FP32, improving both performance and flexibility for ARM64 workloads. His work focused on CPU optimization and embedded systems, leveraging C++ to address performance engineering challenges. The feature enhanced consistency and efficiency for BF16 computations, demonstrating a deep understanding of low-level architecture and backend integration.