Zixi Wang is a Senior Data Scientist based in California with seven years of experience building production ML systems that stop fraud and optimize operations. Currently completing a Master of Information and Data Science at UC Berkeley, she couples state-of-the-art research—like graph neural networks and self-supervised GraphMAE—with pragmatic engineering to deliver measurable business impact. At F5 she boosted fraud detection average precision and reduced real-time latency by 80%, while prior roles at CarParts.com produced highly accurate forecasting and pricing models and automated ML pipelines on Kubernetes. Her background in electrical engineering and hands-on internships in neuroscience and transportation give her a multidisciplinary edge in feature engineering and time-series/spatial problems. She is comfortable taking models from prototype to deployed service, instrumenting experiments with MLflow and optimizing for both accuracy and latency. Notably, she increased downstream predictive power by 333% through a custom self-supervised graph representation—illustrating a knack for turning novel research into production gains.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at University of Southern California
Master's degree Information and Data Science, Master's degree Information and Data Science at UC Berkeley School of Information
Contributions:1 release, 17 commits, 16 pushes in 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.