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 supporting both 32-bit and 64-bit floating-point data. This approach leveraged RISC-V vector extensions to accelerate phase computations, improving performance-per-watt for embedded systems. Using C++ and drawing on expertise in computer vision, RISC-V, and performance optimization, Zhehong addressed minor integration issues during rollout. The work established a foundation for broader SIMD optimizations in OpenCV, demonstrating depth in low-level optimization and embedded system acceleration within a complex codebase.