Worked on the unslothai/gpt-oss repository, focusing on a critical bug fix within the attention kernel. Addressed an error in the upper bound calculation by ensuring consistent use of the start_q variable and removing an unnecessary multiplication by BLOCK_M. This precise adjustment improved the correctness and performance of attention computations, particularly for large input scenarios, and enhanced the stability of downstream inference components. Demonstrated strong skills in Python, algorithm optimization, and deep learning by delivering a minimal yet effective kernel-level change. The work reflected careful debugging and a targeted approach to maintaining reliability in machine learning model infrastructure.