Xuhong Zhang is a professor and seasoned engineer specializing in Spark, machine learning, TensorFlow, and deep learning. Based in Sunnyvale, California, he bridges academic research with industry experience in scalable AI systems. Since 2020 he has been a professor at Zhejiang University, leading research and teaching in data processing and AI applications. Prior to academia, he worked as a Senior Software Engineer at LinkedIn from 2017 to 2020, contributing to large-scale software solutions. He holds a PhD in Computer Engineering from the University of Central Florida, an MS in Computer Science from Georgia State University, and a BS in Computer Software Engineering from Harbin Institute of Technology.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Computer Software Engineering, Bachelor of Science (BS), Computer Software Engineering at Harbin Institute of Technology
Master's degree, Computer Science, Master's degree, Computer Science at Georgia State University
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at University of Central Florida
Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks.
Contributions:1 release, 43 commits, 39 PRs in 10 months
pytorchfillconsumeddeep-learningmachine-learning
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