Summary
Yufan Xue is a Principal Engineer specializing in AI/ML trust at Salesforce with 12 years of experience building and productionizing deep learning and ML systems. He has a strong foundation in both research and engineering—reproducing DL models across TensorFlow, Keras, and PyTorch and taking a chatbot from prototype to general availability. His background spans NLP, computer vision, and time-series/financial anomaly detection, with hands-on experience in model serving, feature pipelines, and cloud-native deployments (Go, Kubernetes, Terraform, AWS). At Outreach and Workday he blended scientific modeling with scalable engineering, extracting semantic features from unstructured interactions and shipping ML microservices. A former ACM-ICPC regional competitor, he pairs algorithmic rigor with practical system design, and has repeatedly built generic serving and analytics platforms in enterprise settings. Based in San Francisco, he brings a rare mix of deep theoretical knowledge and end-to-end production experience in ML infrastructure and trust.
12 years of coding experience
9 years of employment as a software developer
University of Wisconsin
Artificial Intelligence, Artificial Intelligence at Stanford University