Developed and integrated Mini Paramorphix Cayley graph support within the cayleypy/cayleypy repository, focusing on expanding the dataset generation framework for enhanced testing and validation. Leveraged Python and graph theory expertise to define new graph generators and ensure seamless compatibility with existing pipelines. Emphasized quality assurance by implementing comprehensive unit tests, enabling reliable validation and visualization workflows for datasets. The addition of this compact, symmetric graph type improved demo readiness and test coverage, supporting both QA and demonstration scenarios. No major bugs were addressed during this period, with efforts concentrated on feature development, data generation, and robust unit testing practices.