In February 2026, Zhengfei Ji contributed to the aws/sagemaker-python-sdk repository by developing the SageMaker Transform AMI Versioning feature. This work introduced the ability to specify Amazon Machine Image versions within SageMaker transform jobs, addressing the need for reproducibility and precise software configuration in machine learning production workflows. Zhengfei implemented this feature using Python, leveraging AWS services and machine learning best practices to ensure robust integration. The solution allows teams to control the software environment for each transform job, reducing variability and deployment risk. The work demonstrated a focused, in-depth approach to solving a targeted reproducibility challenge in ML operations.