Worked on stability improvements for the NVIDIA/Megatron-LM repository, focusing on deep learning model routing within large-scale transformer models. Addressed a critical bug in the TopKRouter component by aligning the jitter distribution’s data type with that of the input tensor, which prevents runtime type mismatches during jitter application. This fix enhances the reliability of jitter-based routing in inference workloads, reducing errors and improving workflow stability. The work was implemented in Python, leveraging expertise in deep learning and model routing. No new features were added during this period, with efforts concentrated on ensuring robust and consistent behavior in existing model infrastructure.