Contributed to the pandapower project by enhancing the DER Controller’s power saturation logic and improving state estimation workflows. Addressed a critical saturation issue by vectorizing the apparent power saturation logic, which increased accuracy and stability for multi-DER scenarios, and refined parameter handling for maintainability. Later, focused on ensuring compatibility of state estimation routines with both NumPy 1.x and 2.x, updating array operations and error handling to adapt to evolving APIs. These efforts, implemented in Python and leveraging skills in control systems, power systems engineering, and numerical methods, strengthened the robustness and flexibility of the pandapower codebase across repositories.