Worked on the hawk-ai-aml/github-actions repository to improve the reliability and observability of the auto-tagging workflow. Focused on addressing a bug where multiple tags could inadvertently point to the same commit, which previously led to create-tag failures. Introduced new diagnostics and enhanced error reporting within the GitHub Actions pipeline, enabling faster identification and resolution of tag duplication issues. Leveraged CI/CD practices, Shell Scripting, and YAML to implement these changes, ensuring clearer logging and better traceability for debugging. The work emphasized robust automation and maintainability, directly linking diagnostic improvements to specific commits for transparency and future reference within the workflow.