Contributed to the GoogleCloudPlatform/generative-ai repository by developing and upgrading Jupyter and Colab notebooks for evaluating generative AI agents. Leveraged Python and cloud computing to implement evaluation workflows, including migration to the gemini-2.5-flash model and integration with the genai.client.model interface, enhancing assessment reliability and scalability. Introduced frameworks for multi-turn agent evaluation using user simulation metrics and auto-loss analysis, supporting both local and cloud environments. Improved onboarding and accuracy by refining notebook guidance and fixing import links, reducing user friction. Focused on AI model evaluation, SDK integration, and documentation to streamline adoption and usability for data scientists and machine learning engineers.