Summary
Song Yan is a senior engineer based in Beijing with 10 years of experience specializing in machine learning, computer vision, and visual object tracking, currently building advanced CV solutions at HONOR. With a PhD-focused background from Tampere University and hands-on research experience as an AI scientist at Silo AI, he bridges academic rigor and product-driven development. His work spans detection, tracking, and segmentation, and includes applied projects like computerized anthropometry and a city-licensed Android app developed for Tampere Disease Map. Song demonstrates a consistent trajectory from research assistant to industry engineer, combining publications-grade methods with production deployment. Known for tackling measurement-sensitive vision problems, he brings deep expertise in robust tracking under real-world conditions. Fluent across research and engineering workflows, he excels at turning complex visual algorithms into reliable, deployable systems.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Information Technology, 4.11 Very Good, Master's degree, Information Technology, 4.11 Very Good at Tampere University of Technology 1965-2018
Bachelor's degree, Computer Software Engineering, 3.53 Excellent, Bachelor's degree, Computer Software Engineering, 3.53 Excellent at Sichuan University
Exchange Student, Computer Science, Exchange Student, Computer Science at University of Tampere
博士, Computer Vision and Machine Learning, 博士, Computer Vision and Machine Learning at Tampere University
English, Chinese