During August 2025, this developer focused on improving the Mixture of Experts (MoE) bias update logic in the huggingface/torchtitan repository. They addressed a double-counting issue during recomputation, which previously affected the correctness and efficiency of MoE training. By optimizing how expert usage is tracked, they reduced unnecessary computations and improved overall training throughput. Their work, implemented in Python using PyTorch, centered on algorithm optimization within deep learning workflows. The targeted bug fix enhanced the stability and reproducibility of large-scale MoE experiments, demonstrating a strong understanding of both the technical challenges and the practical needs of machine learning infrastructure.