During April 2025, Duygu Ekincibirol expanded the dice-group/dice-embeddings repository by integrating four new knowledge graph embedding models—TransD, TransF, TransH, and TransR—into the PykeenKGE class using Python. She updated the regularizer logic to ensure stable training across these models and extended the test suite to validate compatibility and maintain performance thresholds, focusing on Mean Reciprocal Rank metrics. Her work emphasized robust model integration and comprehensive testing, aligning with the project’s goal of scalable, reliable embeddings. While no major bugs were reported, her contributions demonstrated depth in model integration, knowledge graph embeddings, and automated validation within a production codebase.