Worked on the aws/sagemaker-python-sdk repository to deliver a new wait_timeout parameter for training jobs, enhancing user control over training durations. The solution involved updating the train method across several trainer classes, including SFT, DPO, RLAIF, RLVR, and BaseTrainer, to cap wait times and prevent indefinite job execution. Comprehensive unit tests were developed to validate the new behavior and ensure reliability. Using Python and applying machine learning best practices, the work improved workflow predictability and resource planning for users. No major bugs were addressed during this period, with the focus remaining on robust feature implementation and thorough testing.