Zhehong worked on the espressif/opencv repository, delivering a RISC-V vector-accelerated phase calculation feature for embedded vision workloads. He implemented a hardware abstraction layer for the cv::phase function, introducing vectorized arctangent routines for both 32-bit and 64-bit floating-point data. This approach leveraged RISC-V vectorization to accelerate phase computations, improving performance-per-watt on targeted embedded systems. Using C++ and drawing on expertise in computer vision and performance optimization, Zhehong addressed minor integration issues during rollout. The work established a foundation for broader SIMD optimizations within OpenCV, demonstrating depth in low-level systems engineering and a clear focus on future extensibility.