Summary
YS Chen is a founder and senior deep learning architect with 11+ years building high-performance machine learning and matrix-computation systems. He combines deep expertise in sparse solvers, eigenvalue methods and numerical linear algebra with applied computer vision—shipping palmprint, face and image-search solutions and a front-camera eye-tracking SDK for mobile. He’s designed end-to-end ML architectures, distributed sparse-gradient training and scalable microservice backends, and built CI/CD frameworks to automate testing across stacks. Prior roles span R&D in finite-element and GPU-accelerated solvers to leading AI engineering teams, reflecting strong hands-on coding, debugging and optimization skills. Known for pragmatic problem-solving and rapid self-learning, he bridges academic rigor (doctoral studies) with product-focused engineering and entrepreneurship based in Shanghai. An unusual strength is his decade-long focus on sparse matrix performance, which consistently informs more efficient large-scale deep learning and CV systems.
11 years of coding experience
15 years of employment as a software developer
Master Degree, Structural Engineering, Master Degree, Structural Engineering at Tongji University
Bachelor Degree, Civil Engineering, Bachelor Degree, Civil Engineering at Southeast University
Doctor Degree, Doctor Degree at Xiamen University