Summary
Qi Yao is a Technical Director with over a decade of experience designing and deploying computer vision and embedded systems, specializing in face recognition, object detection, FPGA development, and embedded Linux. He has progressed from FPGA and imaging work at Digilent and BEEcube to leading deep-learning powered vision projects at Shenzhen Shenmu, combining low-level hardware expertise with modern neural network pipelines. Qi’s background spans SDN/SDR on Xilinx platforms, Linux driver development, and prototyping on Arduino, Raspberry Pi and ESP8266, enabling end-to-end solutions from sensor to inference. Based in Jiaxing, Zhejiang, he blends research-oriented master's training in computer software and theory with practical product delivery in edge and AI systems. An avid traveler and marathoner, Qi took a formative gap year exploring western China and Nepal, a period that sharpened his curiosity and resilience—qualities he brings to technical leadership and cross-disciplinary teams.
10 years of coding experience
3 years of employment as a software developer
硕士, 计算机软件与理论, 硕士, 计算机软件与理论 at Lanzhou University