Summary
Tian Qin is a software engineer with nine years of experience building distributed systems, machine learning infrastructure, and blockchain products, currently contributing to dYdX after helping democratize ML at AWS SageMaker. A two-time UC Berkeley graduate with research roots in practical Byzantine Fault Tolerance, Tian blends rigorous probabilistic thinking with hands-on engineering to design scalable consensus and inference systems. He has led product teams at Blockchain at Berkeley and advised accelerator startups, bringing both academic depth and industry delivery to crypto and cloud-native projects. Based in New York, he’s comfortable navigating Amazon-scale codebases while continuing to push open technical questions at the intersection of probability, ML, and decentralized systems.
9 years of coding experience
6 years of employment as a software developer
Undergraduate, Electrical Engineering and Computer Sciences, 3.8, Undergraduate, Electrical Engineering and Computer Sciences, 3.8 at University of California, Berkeley
Master of Science - MS, Electrical Engineering and Computer Sciences, Master of Science - MS, Electrical Engineering and Computer Sciences at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
High School Diploma, Valedictorian, 4.23, High School Diploma, Valedictorian, 4.23 at Northwest Normal High School
English, Chinese