Summary
Zhen Song is a data scientist and serial technology founder with over a decade of experience building AI-driven products, from industrial ML for predictive maintenance to AIGC and LLM applications. A PhD in electrical engineering and an IEEE senior member, he has shepherded government- and industry-funded research at Siemens and as a PI, producing ~50 publications and roughly 130 patents across 24 families. He has led technical teams at startups and enterprises (CTO roles at First State IoT and JD.COM) and has a track record of shipping large-scale deployments—300 algorithms on AWS monitoring 8,000 buildings. His work has been recognized by international media and industry awards, and he combines deep embedded/control-system roots (high-speed train controllers, PLC stacks) with modern ML/AI engineering and product leadership. Notably, his background spans both hands-on software engineering and high-impact academic research, enabling rapid translation of novel algorithms into operational products.
10 years of coding experience
24 years of employment as a software developer
PhD Electrical Engineering, PhD Electrical Engineering at Utah State University
BS Automatic Control, BS Automatic Control at Beijing Institute of Technology
English, Chinese