During March 2025, Thomas Johnson focused on enhancing deployment efficiency and image processing reliability across two repositories. For red-hat-data-services/vllm, he optimized Docker image builds by excluding unnecessary system documentation, reducing image size and accelerating deployment. In liguodongiot/transformers, he improved the robustness of the Mllama image processing module by refining the handling of image dimensions, impractical aspect ratios, and default PIL formats, while also expanding unit test coverage to prevent regressions. His work leveraged Python, Dockerfile, and image processing techniques, resulting in smaller, faster-to-deploy containers and more reliable image handling, demonstrating thoughtful engineering within a short timeframe.