Worked on documentation-driven enhancements for Azure Machine Learning Services within the Azure-Proactive-Resiliency-Library-v2 repository, focusing on quota management and disaster recovery region recommendations to improve governance and resource continuity. Leveraged Azure, cloud computing, and yaml to deliver updated guidance on compute quotas, SKU selection, and streamlined quota increase workflows through Azure ML Studio. Additionally, addressed deployment governance in the Azure-Verified-Modules repository by correcting ownership metadata in TerraformResourceModules.csv, using CSV and Terraform module management skills to enhance traceability and auditability. The work emphasized documentation management and process clarity, supporting maintainable deployments and reducing risk of misrouted changes.