Worked on the hiddenSymmetries/simsopt repository, focusing on improving the robustness of the Permanent Magnet Optimization workflow. Addressed a critical issue in parameter handling by replacing kwargs.pop with kwargs.get, ensuring that keyword arguments remain accessible throughout the optimization process and preventing unintended key removal. This change enhanced the reliability and repeatability of optimization runs, reducing the risk of parameter loss and downstream errors. The work prioritized stability and maintainability over new feature development, with all changes tracked in a searchable Git history. Utilized Python and software development best practices to deliver a targeted bug fix that supports long-term code quality.