
Worked on the oracle-samples/oci-data-science-ai-samples repository to overhaul the AI Hub feedback collection workflow, focusing on improving the quality and efficiency of user feedback. Developed a new issue template using YAML, consolidating feedback types and removing bug-specific fields to streamline the process for both Models and Solutions. Leveraged configuration management and GitHub Actions to ensure the new workflow was standardized and easily maintainable across the repository. All changes were implemented with clear commit history for traceability, resulting in a more effective triage process and a better user experience for contributors submitting feedback through the repository’s issue system.
October 2025 monthly work summary focusing on key accomplishments in the oracle-samples/oci-data-science-ai-samples repository, with emphasis on delivering a streamlined AI Hub feedback collection workflow and improved feedback quality.
October 2025 monthly work summary focusing on key accomplishments in the oracle-samples/oci-data-science-ai-samples repository, with emphasis on delivering a streamlined AI Hub feedback collection workflow and improved feedback quality.

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