Xue Xia is a Senior Machine Learning Engineer with eight years of experience building real-time recommendation and relevance systems at Pinterest and LinkedIn. She co-authored a KDD paper on Transformer-based real-time user action modeling and has driven production homefeed ranking improvements using live user-action sequences. Her background combines academic research at Carnegie Mellon and UCLA—where she worked on entity-oriented knowledge bases and entity embeddings—with hands-on engineering that improved model inference performance at Intel. Xue is comfortable spanning research, patents, and production deployment, leveraging visual and textual signals for recommendation and video classification. Based in Vitória, Espírito Santo, she blends rigorous evaluation (including published work and a patent) with practical system optimizations that scale to large user-facing platforms.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Management Information Systems, General, 3.9/4.0, Bachelor's degree, Management Information Systems, General, 3.9/4.0 at Wuhan University
No degree (Research Intern), Computer Science, 4.0/4.0, No degree (Research Intern), Computer Science, 4.0/4.0 at University of California, Los Angeles
Master of Intelligent Information System, Computer Science, Master of Intelligent Information System, Computer Science at Carnegie Mellon University
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