During September 2025, Chia-Lin Liu developed and integrated Image ID support into the Leader Worker Workflow for the apple/axlearn repository, addressing traceability and reproducibility in image-based experiments. Liu’s approach involved adding an optional image_id field to the BaseLeaderWorkerTemplate, exposing this field through container startup flags, and updating the LWSRunnerJob to reference the correct inner-job configuration type. This ensured that image_id information flowed consistently throughout the workflow. The work demonstrated proficiency in Python, GCP, and cloud computing, and contributed to improved workflow reliability and configuration correctness within a large-scale machine learning project, reflecting thoughtful end-to-end feature integration.