During April 2026, Ke delivered a targeted bug fix to the facebookresearch/fairseq2 repository, focusing on the WerMetric class used for evaluating model performance. By correcting the use of hyp_seqs instead of ref_seqs when constructing hyp_seqs_list, Ke addressed a subtle issue that previously led to inaccurate word error rate calculations. This change, implemented in Python and leveraging skills in data processing and metrics implementation, improved the reliability of model evaluation metrics critical for research and product decisions. The fix was lightweight, clearly documented, and co-authored with Becky, aligning with established QA processes and supporting robust machine learning workflows.