Xiang Zhou is a software engineer based in Sydney with 8 years' experience building scalable cloud and backend systems across fintech and SaaS, currently contributing to Atlassian’s cross-product notification and activity platforms. He has deep hands-on experience with Python, C/C++, Java/Scala, GraphQL, Kafka, Elasticsearch and AWS, and has driven measurable improvements such as a 30% cost reduction in ES clusters and dramatic pipeline and lambda performance gains. Xiang combines embedded and ML/vision interests—evidenced by self-directed projects like a self-driving RC car and a clouded smart-home chat bot with face recognition—with enterprise-grade engineering practices from load testing to cloud compliance. A pragmatic automator, he’s built CLI tooling to shrink deployment tasks from hours to minutes and designed stateful compliance workflows to close significant risk items. Persistent and mission-driven, he brings both research-minded curiosity (Udacity self-driving training, Master of IT with distinction) and production discipline to IoT, computer vision and distributed data systems.
8 years of coding experience
2 years of employment as a software developer
The University of Sydney
Self Driving Car Engineer, Computer Science, Self Driving Car Engineer, Computer Science at Udacity
Smart google home like chat bot that with face log in function, can interact with IOTs like light bulbs and vacuum cleaners
Contributions:1 review, 12 pushes, 1 branch in 5 years 9 months
lightbotchatgoogle-homeinteract
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