Worked on the IBM/responsible-prompting-api repository to restore and enhance the UMAP model repository, focusing on standardizing data representations across multiple applications. Leveraged Python and machine learning techniques to reintegrate UMAP models, which improved data processing workflows and accelerated access to reusable assets for downstream teams. Emphasized disciplined version control and repository management to ensure stability and maintain strong data governance. No major bugs were addressed during this period, but routine maintenance tasks were completed to preserve system reliability. The work demonstrated proficiency in AI, data modeling, and the practical application of UMAP for scalable, maintainable model infrastructure.