Anfal Sharif enhanced checkpointing validation for the MaxText component in the GoogleCloudPlatform/ml-auto-solutions repository. She implemented comprehensive end-to-end test coverage for both synchronous and asynchronous checkpointing modes, updating the DAG to iterate through each mode and ensuring the correct test flags were applied. Using Python and leveraging her expertise in cloud infrastructure and MLOps, Anfal reworked the test infrastructure to support mode-agnostic checkpoint validation. This approach improved the robustness of regression testing and increased confidence in checkpoint reliability, directly reducing production risk and enabling safer deployments. Her work demonstrated depth in testing and cloud-native engineering practices.