Worked on the opencv/opencv repository to address a performance issue in the image processing module’s floodFill function. Focused on ensuring the algorithm consistently used the simple, fast path when applicable, thereby eliminating unnecessary calls to the slower gradient-based path. Improved reliability by capturing the mask’s empty state before auto-creating a default mask, ensuring accurate evaluation of the is_simple condition. This targeted bug fix reduced processing time and enhanced code correctness. Demonstrated proficiency in C++ programming, algorithm optimization, and image processing, applying careful debugging and performance tuning to improve the efficiency and stability of a core OpenCV function.