In July 2025, Jincheng Miao enhanced the huggingface/optimum-habana repository by integrating the FusedSDPA kernel into Bert self-attention, specifically targeting Habana Gaudi accelerators. This work replaced the standard scaled dot-product attention in BertSdpaSelfAttention.forward, focusing on improving inference throughput and reducing latency in non-training scenarios. Using Python and leveraging deep learning expertise, Jincheng validated the performance benefits of this approach on Habana hardware. The implementation maintained clear traceability through a dedicated commit, reflecting a focused and technically deep contribution in performance optimization and transformer model engineering, with all changes designed to address hardware-specific efficiency challenges in production inference environments.