Mamun Miah developed SevenNet model support for the MLP recipes in the Quantum-Accelerators/quacc repository, expanding the available machine learning models for materials science workflows. He updated dependencies and refined the calculator selection logic to ensure seamless integration of the new model with existing features. Using Python and leveraging his expertise in full stack development and machine learning, Mamun also implemented comprehensive unit tests to verify the stability and maintainability of the integration. His work improved code quality and test coverage, laying a foundation for future extensions and ensuring that production workflows remain reliable and easy to maintain over time.