During September 2025, this developer focused on backend development for the sgl-project/sglang repository, addressing a critical bug affecting attention computation on Ascend GPUs. Using Python, they implemented a targeted fix to ensure the query tensor remains contiguous after reshaping, which resolved memory layout errors and prevented incorrect attention results during model inference and training. Their work improved the reliability and stability of attention workflows on Ascend hardware, reducing data processing errors in production environments. By maintaining high code quality and integrating the fix within the ACLGraph component, the developer demonstrated strong skills in bug fixing and performance optimization for hardware-specific challenges.