During November 2025, Xuele worked on the alibaba/ROLL repository, focusing on improving the reliability of Qwen2 model integration with Megatron. Xuele identified and fixed a critical bug related to the shape validation of position_ids, which previously caused runtime errors during cross-framework deployments. By implementing on-the-fly validation and correction of position_ids within the inference pipeline, Xuele enhanced the robustness and maintainability of the codebase. The solution was developed using Python and PyTorch, leveraging deep learning and model optimization expertise. This targeted fix reduced production debugging time and supported faster, more stable feature delivery in Megatron-enabled machine learning pipelines.