During March 2025, dhenis enhanced the empirical Lindhard NIEL model within the kelseymh/G4CMP repository, focusing on improving parameter handling and clarifying model descriptions to support more accurate non-ionizing energy loss calculations. Leveraging C++ and Geant4, dhenis refactored the model and extended the testNRyield utility, enabling users to better utilize the model’s expanded capabilities for physics simulation. The work emphasized code quality through responsive pull request updates and robust testing practices. These contributions increased the flexibility and reliability of radiation-effect predictions, demonstrating depth in code refactoring, physics simulation, and test-driven development within a specialized scientific context.