Tural Aksel developed YAML input path support for the Protein Folding Prediction workflow in the modal-labs/modal-examples repository, focusing on enhancing data ingestion flexibility and reproducibility. Using Python scripting and data processing techniques, Tural enabled the workflow to accept external YAML files as input, allowing researchers to configure experiments more efficiently. The implementation required careful coordination to ensure compatibility with various YAML sources and maintain stability throughout the ingestion process. While no bugs were reported or fixed during this period, the work demonstrated a focused approach to improving configurability and experimentation speed for machine learning-driven protein folding tasks.