Worked on enhancing documentation for the Miyagi App Setup and Recommendation Service within the CloudLabsAI-Azure/miyagi repository, focusing on improving onboarding clarity and operational guidance. The effort involved restructuring and expanding Markdown-based documentation to provide clearer setup instructions and references to relevant code, making it easier for new users to navigate the deployment process. Leveraged skills in Azure, Jupyter, and Semantic Kernel to ensure the documentation accurately reflected the technical environment and workflows. The improvements aimed to increase maintainability and usability, supporting both developers and operational teams in understanding and implementing the Miyagi app and its recommendation features.