Worked on the GoogleCloudPlatform/generative-ai repository to enhance the reliability of evaluation notebooks during a period of library updates. Focused on maintaining experiment integrity by updating import paths in Python code to accommodate changes in the CrewAI library, ensuring compatibility with the latest API. Addressed issues in sample data generation for BYOD scenarios by correcting input variable names within Jupyter Notebooks, which improved the accuracy of evaluation workflows. Emphasized debugging and data analysis skills to reduce downstream errors and preserve traceability. The work centered on sustaining code quality and notebook functionality in response to evolving external dependencies over the month.