During May 2025, Asish Nelapati developed a feature for the oumi-ai/oumi repository that enables saving evaluation configurations as YAML files in a specified output directory. Using Python and leveraging YAML for serialization, Asish focused on backend development to streamline the evaluation workflow. This addition reduced manual configuration steps and improved the reproducibility and shareability of evaluation setups, making it easier for users to onboard and deploy evaluations. The work demonstrated a targeted approach, integrating the new export functionality directly into existing processes. While no bugs were addressed, the feature delivered depth by enhancing configurability and supporting collaborative evaluation practices.