Arnie Chang contributed a targeted bug fix to the opencv/opencv repository, focusing on the RISC-V Vector Extension’s reduction operations. He addressed test failures by switching from a tail-agnostic to a tail-undisturbed policy, ensuring that tail elements were preserved during reductions and preventing accumulator corruption and NaN propagation. This change stabilized test outcomes across diverse RVV hardware and emulation environments, such as QEMU, and enabled reliable validation in opencv_test_core and opencv_test_imgproc. Working primarily in C++ and leveraging expertise in vector programming and testing, Arnie’s work improved CI reliability and enhanced OpenCV’s portability across various RISC-V vector-enabled platforms.