Zijian Yi is a research engineer in Shenzhen with 11 years of experience building and operating large-scale infrastructure, real-time bidding systems, and privacy-focused platforms before transitioning to computational neuroscience research at the Chinese Academy of Sciences. He blends hands-on software development and architecture leadership—having led infrastructure and consent management at Sourcepoint and directed engineering for ad-tech at RUN—with formal training in electrical engineering and data science from Stevens Institute of Technology and Columbia University. Comfortable across ML, infrastructure, and production systems, he focuses on turning research ideas into robust, deployable services. A practical systems thinker, he brings both startup-speed delivery and academic rigor to interdisciplinary problems at the intersection of computation and neuroscience.
10 years of coding experience
3 years of employment as a software developer
Data Science, Data Science at Columbia University
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Stevens Institute of Technology
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Zijian Yi - Research Engineer at Chinese Academy of Sciences