Worked on enhancing the Generative AI Operations documentation within the MicrosoftDocs/architecture-center repository, focusing on improving clarity and consistency for enterprise AI deployments. Updated the genaiops-for-mlops.md file using Markdown, refining terminology related to fine-tuning and prompting, and clarifying the distinct responsibilities of data scientists and software engineers throughout the MLOps lifecycle. Strengthened guidance on evaluation and deployment for Retrieval-Augmented Generation and prompting patterns, aiming to reduce miscommunication and accelerate onboarding. Leveraged technical writing and documentation skills to standardize best practices, ensuring that teams adopting generative AI operations benefit from clearer guidelines and improved alignment across development and operations roles.