Chirag Jain developed automated health testing for the PyTorch AI container within the SUSE/BCI-tests repository, focusing on improving deployment reliability for AI workloads. Using Python and leveraging CI/CD and containerization skills, Chirag defined the container’s configuration, expanded the test scope, and implemented the test_pytorch_health function to verify both container health and version. This addition enabled the PyTorch AI container to be included in the automated testing workflow, providing faster feedback on image readiness and reducing deployment risk. The work extended CI coverage for AI containers, aligning with best practices for health and version validation, and delivered measurable business value.