Summary
Yuanxun Zhang is a senior machine learning engineer with nine years of experience bridging rigorous academic research and production ML systems, currently leading personalization and recommendation efforts at Weee! in Fremont. He holds a PhD in Computer Science from the University of Missouri and has applied probabilistic modeling, statistical learning, and deep learning to problems ranging from knowledge graph construction and GNN-driven scholar search to NLP extraction and sentence-level document understanding. Yuanxun has a strong track record of deploying transformer-based and attention-driven models in industry settings, and earlier in his career built network transmission features at Huawei, giving him a systems-aware view of ML engineering. He is motivated by quantifying uncertainty and making better decisions from data, and his background uniquely combines theoretical insight with hands-on solutions for noisy, imbalanced, and structured information extraction tasks.
9 years of coding experience
8 years of employment as a software developer
University of Missouri