Ning Gao is an accomplished professional in the field of computer science with a robust background in software engineering and data science. Notable experiences include a role as a Software and Data Science Intern at Seagate Technology, where an automatic machine learning pipeline based on the H2O system was designed and implemented, and a position as an SDE Intern at Amazon, focusing on building database services in AWS EMR. As a Research Assistant at the University of Colorado Boulder, Ning Gao contributed to developing a paradigm for distributed and transactional spatial indexes. Further professional development includes serving as a Software Engineer at Google, working on the Google Cloud AI Platform's Kubeflow Pipeline, and currently as a Research Scientist at Meta, specializing in distributed transactional databases. Educational achievements include a PhD in Computer Science from the University of Colorado Boulder and a Bachelor's degree in Computer Science from Zhejiang University.
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