In September 2025, Woojay focused on enhancing performance within the apple/axlearn repository by optimizing the SpmdTrainer’s configuration handling. He identified and removed unnecessary deep-copying operations in the configuration process, which reduced evaluation overhead and improved throughput during model evaluation. This targeted change streamlined resource usage and maintained a clear, traceable commit history. Working primarily with Python and leveraging his skills in machine learning and performance optimization, Woojay addressed a specific bottleneck without introducing new bugs. The work demonstrated a thoughtful approach to code efficiency, emphasizing reliability and maintainability while delivering a focused improvement to the model evaluation workflow.