Summary
Zhilin Zhang is a Senior Applied Scientist at Amazon with a PhD in Computer Science and eight years of experience turning research into production-grade AI/ML systems that tackle catalog abuse, fraud detection, forecasting, and model interpretation. As technical lead for Catalog Abuse Prevention in Selling Partner Services, he sets strategy, architects scalable pipelines, and delivers patented innovations that protect marketplace integrity. He blends deep academic training with hands-on engineering—building big-data production pipelines, auto-retraining systems, and forecasting metrics—and mentors teams to raise technical standards. Comfortable operating across high-ambiguity, high-impact projects, Zhilin is motivated by inventing elegant, efficient solutions that move the needle for both users and the business. An unassuming inventor, he quietly contributes to Amazon’s IP and research publications while aiming to “add something new to this world.”
8 years of coding experience
Master's Degree, Computer Science, Master's Degree, Computer Science at Xidian University
Doctorate Degree, Geomatics Engineering, Doctorate Degree, Geomatics Engineering at University of Calgary
Doctorate Degree, Computer Science, Doctorate Degree, Computer Science at Simon Fraser University
English, Chinese