Felipe Vianna enhanced the mlrun/mlrun repository by integrating GenAI demo repositories into the existing demo bundle, expanding the platform’s ability to showcase and validate GenAI workflows for both customers and internal teams. Using Python and leveraging automation and scripting skills, Felipe curated and maintained new demo content, specifically adding monitoring and feedback loop as well as LLM tuning demos. The integration improved demo infrastructure readiness, enabling faster evaluation and demonstration of GenAI capabilities. The work was delivered with strong Git discipline, required no bug fixes, and was validated as release-ready, reflecting a focused and stable engineering contribution within the project.