During March 2026, Ruixiang Wang optimized the expert routing mechanism for the GPT-OSS model in the unslothai/unsloth-zoo repository, focusing on improving token processing efficiency and expert selection during model training. Leveraging deep learning and model optimization techniques in native PyTorch, Wang implemented a mixture-of-experts (MoE) routing enhancement that increased throughput and scalability for large language models. The work included a minor naming consistency fix to improve maintainability and clarity within the routing pipeline. Although no critical bugs were addressed, the contribution demonstrated strong proficiency in Python and performance profiling, resulting in more efficient and maintainable model training workflows.