Summary
Weiwen Gu is a Staff Machine Learning Engineer based in Chicago with a decade of experience building production ML infrastructure, analytics and automation at Google and prior roles across predictive maintenance, risk modeling and digital marketing. He holds a PhD in Mathematics and an MS in Statistics, which underpin his expert Python, OOP and algorithm development skills used to design end-to-end ML systems and domain-specific GenAI applications. Weiwen has a track record of establishing MLOps processes and shipping ML-driven insight and report automation in high-impact enterprise settings like Google, Grubhub, Anthem and Uptake. A self-motivated continuous learner, he blends deep theoretical rigor with hands-on engineering to move models from prototype into reliable production at scale. He is actively pursuing senior or lead engineering roles in machine learning and e-commerce where he can combine system architecture with applied research.
10 years of coding experience
11 years of employment as a software developer
Ph.D Mathematics, Ph.D Mathematics at Michigan State University
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Zhejiang University
Chinese, English