In April 2025, Ste Kin focused on enhancing the reliability and compatibility of Ray tutorials within the HPEEzmeral/aie-tutorials repository. Addressing stability issues, Ste resolved a FileNotFoundError in the Ray Tune tutorial by ensuring the model storage directory is created as needed, directly improving the learning experience for users. Additionally, Ste updated the Ray VLLM tutorial to accommodate changes from a Ray version upgrade, providing troubleshooting guidance and removing unsupported configuration fields. These contributions, implemented using Python and Markdown, emphasized robust documentation and practical troubleshooting, resulting in a more stable and user-friendly environment for data science practitioners and developers.