In October 2024, L. Nibrass contributed to the mlflow/mlflow repository by developing and integrating BLEU evaluation metric support for model evaluation workflows. This addition enabled users to assess language model outputs against reference texts, addressing a key need in natural language processing tasks. Nibrass implemented the feature using Python and integrated it with the HuggingFace Evaluate metrics framework, ensuring compatibility with established NLP evaluation standards. The work included comprehensive updates to documentation and test suites, improving usability and coverage. This focused contribution deepened MLflow’s model evaluation capabilities, particularly for NLP, and demonstrated strong skills in documentation, model evaluation, and Python.