Worked on deployment stability for fine-tuned classification models within the Azure/azureml-assets repository, focusing on ensuring reliable production rollout and release readiness. Addressed a deployment issue that impacted the release of a new MedImageInsight version and updated the CxrReportGen version description, collaborating across repositories to maintain versioning accuracy. Applied skills in Azure, data management, and model deployment, using Markdown and YAML to support release engineering practices. The work improved deployment reliability and traceability for machine learning assets in the Azure ML portfolio, contributing to smoother release cycles and enhanced business value through more dependable model deployment processes and asset management.