Kuiren Su developed the Preference Tuning Jobs Module for the GoogleCloudPlatform/python-docs-samples repository, delivering end-to-end support for creating and managing preference tuning jobs. Using Python, Kuiren implemented features for training and validation dataset setup, job state monitoring, and lifecycle management, ensuring seamless integration with existing training pipelines and monitoring infrastructure. The work included updating dependencies and unit tests to maintain compatibility and reliability across the system. By providing code samples and documentation, Kuiren enabled faster adoption and experimentation for other developers. The project demonstrated depth in backend development and API integration, focusing on robust, maintainable solutions for model personalization workflows.