Summary
Ningzhou Zeng is a Lead Quantitative Analytics Specialist with nine years of experience blending research-grade machine learning and computer vision with production web engineering. Holding a PhD in Computer Science, he has progressed through research roles into advanced computing and AI engineering at Wells Fargo, now leading quantitative analytics initiatives that intersect C++ performance work and Python-based ML pipelines. He pairs deep algorithmic knowledge and hands-on C++/OpenCV expertise with full-stack web skills—Ruby on Rails, Node.js, React and modern front-end toolchains—enabling end-to-end delivery of data-driven applications. Known for pragmatic architecture and strong OOP/design-pattern fluency, Ningzhou often bridges prototype research and deployable systems in regulated enterprise environments. Based in Houston, he brings a cross-disciplinary background in optical science, computer engineering and health-research collaborations that inform robust, production-ready analytics solutions.
9 years of coding experience
6 years of employment as a software developer
Master’s Degree Computer Engineering, Master’s Degree Computer Engineering at Case Western Reserve University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Kentucky
Bachelor's Degree Optical Information Science and Technology, Bachelor's Degree Optical Information Science and Technology at Sun Yat-sen University
English, Chinese, Chinese