During February 2025, Alejandro Brum optimized heatmap generation in the roboflow/supervision repository by refactoring the HeatMapAnnotator’s HSV color mapping process. He reduced redundant HSV conversions by applying the temperature map directly to the hue channel while maintaining maximum saturation and value, resulting in a 20x performance improvement. This approach lowered CPU usage and enabled more scalable annotation workflows for computer vision tasks. Alejandro used Python and focused on performance optimization and maintainability, employing profiling to validate the gains. The work demonstrated a strong understanding of color space manipulation and contributed to more efficient labeling throughput without introducing new bugs.