Zewei Shi is a PhD candidate specializing in AI security and privacy at the University of Melbourne and CSIRO's Data61, combining four years of hands-on research and teaching across Australia’s top universities. He balances academic roles as an academic tutor and research assistant with practical engineering experience as a cloud operations engineer and full-stack developer, applying production-grade software practices to research problems. His background in advanced computing and honours work in NLP gives him strong foundations in machine learning, applied to privacy-preserving and secure AI systems. Colleagues know him for translating complex theory into teachable coursework and reproducible code, and for a playful hacker mindset reflected in his GitHub persona that signals creative problem-solving. Zewei’s cross-cutting experience in tutoring, research, and industry positions him to bridge academia and production deployment of trustworthy AI.
4 years of coding experience
USFP The University of Sydney Foundation Program, USFP The University of Sydney Foundation Program at Taylor's College (Au, Sydney)
Contributions:1 release, 2 pushes, 1 branch in 5 months
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