During July 2025, Kladny focused on improving the correctness and efficiency of expert selection in the liguodongiot/transformers repository. He addressed a core issue in the load-balancing loss function by removing a redundant double soft-max operation, which enhanced both computational efficiency and the accuracy of expert routing. This work, implemented in Python using PyTorch and deep learning techniques, targeted stability and maintainability rather than introducing new features. By resolving issues #39055 and #39056, Kladny demonstrated a deep understanding of model optimization and loss function design, delivering a targeted fix that improved the reliability of machine learning workflows in production.