Worked on expanding Ray Data’s capabilities by integrating the Data-Juicer library within the dayshah/ray repository. Focused on enabling distributed data processing, the work involved developing comprehensive documentation and a practical example to guide users through the new workflow. Used Markdown for documentation, Python for example development, and YAML for configuration, ensuring clarity and reproducibility. Updated the example gallery and vocabulary to reflect Data-Juicer’s terminology, making it easier for teams to adopt these new features. This integration reduced onboarding friction and broadened the range of data-processing workflows available, supporting faster adoption of distributed data solutions across different projects.