Summary
Siyuan Zhang is a Tech Lead Manager with eight years of experience building low-latency, large-scale backend systems, currently leading the Feature Platform and Rules Engine teams at DataVisor. He specializes in scalable calculation and aggregation pipelines and batch testing frameworks that process billions of events with strict performance constraints. A University of Illinois MSCS graduate and former TA, Siyuan blends academic rigor with practical production engineering, including research-driven internship work on false positive/negative elimination in unsupervised models. He has progressed through multiple engineering roles at DataVisor, demonstrating hands-on expertise from prototyping to leading a detection-focused backend org. Based in California, he maintains an active technical presence (portfolio at jasonzhang929.github.io) and a research interest in reinforcement learning reflected in his GitHub bio. Colleagues know him for turning complex detection requirements into automated, measurable tooling that scales.
8 years of coding experience
2 years of employment as a software developer
University of Illinois Urbana-Champaign