Worked on enhancing GenAI demonstration capabilities within the mlrun/mlrun repository by integrating new GenAI demo repositories into the existing demo bundle. This effort focused on expanding demo coverage and streamlining the validation process for GenAI workflows, making it easier for both customers and internal teams to evaluate and showcase GenAI features. Leveraged Python for automation and scripting tasks, ensuring that the integration process was robust and maintainable. Demonstrated careful Git workflow management and effective cross-repository collaboration to curate and maintain demo content. The work was validated as release-ready, with no major bugs reported during the integration phase.