Summary
Shi Yiqun is a seasoned backend product and strategy engineer with 10 years focused on transaction risk control, anti-fraud, and anti-cheat systems at Baidu in Beijing. He combines production-grade C++ and Python skills with machine learning and deep learning know-how to turn statistical models into robust, low-latency defenses. At Baidu he translates detection strategies into scalable backend services, balancing precision, latency, and operational observability for high-throughput environments. Trained in computer engineering at Iowa State University, he brings a systems-first perspective informed by both software engineering and ML modeling. Colleagues rely on him to bridge product, data science, and platform teams to ship auditable risk controls that adapt to evolving fraud patterns.
10 years of coding experience
Computer Engineering, Computer Engineering at Iowa State University