Zheguang Zhao
Research Fellow In Secure Systems at Redfin
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolZheguang Zhao is a research fellow in secure systems who blends machine learning, applied cryptography, and big data systems to advance secure data-driven technologies. He earned a PhD in Computer Science from Brown University, with research spanning ML for cyber-physical systems and encrypted data platforms. Based in Melbourne, Australia, at the University of Melbourne, he leads efforts in machine learning and data system security for scalable, real-world applications. His prior roles include a postdoctoral fellowship at Technische Universität Darmstadt and hands-on work on encrypted data systems at Aroki Systems and ML for cyber-physical systems at Los Alamos National Laboratory. With 12 years of experience across academia and industry, he brings a diverse toolkit, from Scala/Spark and SQL to Julia and optimization techniques. Notably, he has contributed to encrypted relational databases for the cloud and physics-inspired ML models for cyber-physical systems, demonstrating a track record of delivering secure, production-ready systems.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Business Administration (B.B.A.), Finance, Bachelor of Business Administration (B.B.A.), Finance at Georgia Institute of Technology
English, Chinese
Github Skills (29)
kafka10
apache10
java10
scala10
apache-kafka10
kafka-consumer10
sparksql8
spark-ml8
searchable7
delta7
apache-spark6
aes-2565
sink5
spark5
big-data4
Programming languages (3)
Github contributions (5)
zheguang/kafedb
Nov 2018 - Nov 2021
Mirror of Apache Spark
Contributions:1 release, 271 commits, 211 pushes in 3 years
deltabigdataspark-mlapachebig-data
zheguang/zheguang.github.io
May 2016 - Dec 2023
Contributions:66 pushes, 1 branch in 7 years 8 months
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