Congrui Xu developed reservation affinity support for BatchPredictionJob in the googleapis/python-aiplatform repository, focusing on resource governance and scalability for batch prediction workloads. Xu introduced new API parameters that allow users to specify reservation affinity type, key, and values, enabling more predictable scheduling and improved resource management for large-scale AI pipelines. The implementation leveraged Python and cloud computing concepts, integrating seamlessly with existing machine learning workflows. By enhancing the API’s flexibility, Xu addressed the need for better usage governance and cost control in batch predictions. The work demonstrated depth in API development and a clear understanding of scalable cloud-based machine learning systems.