Xiaowei Liu is a machine learning engineer and engineering manager with six years of industry experience and a PhD in electrical engineering, currently building ML systems at Airbnb in the San Francisco Bay Area. She has led teams at LinkedIn developing NLP and computer vision algorithms for content understanding in search and recommender systems, moving research into production at scale. Her hands-on work includes significant contributions to DeText, an open-source deep text understanding framework used for ranking and classification, where she improved training, data handling, and PyPI packaging. Xiaowei blends research-era rigor from her graduate work with pragmatic engineering, valuing collaboration, diversity, and continuous learning while mentoring teams to deliver impactful, user-facing ML features.
6 years of coding experience
5 years of employment as a software developer
B.S., Communication Engineering, B.S., Communication Engineering at Beijing University of Post and Telecommunications
Doctorate, Electrical Engineering, Doctorate, Electrical Engineering at Stony Brook University
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Role in this project:
ML Engineer
Contributions:6 releases, 2 reviews, 53 commits in 8 months
Contributions summary:Xiaowei contributed significantly to the DeText framework by adding and modifying code related to data format documentation, and internal updates. Their work included changes to training parameters, data handling, and the preparation of the package for PyPi. Further contributions involved applying internal changes, specifically focusing on model training and evaluation logic within the framework.
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