Summary
Kunze Wang is a Senior Machine Learning Engineer II based in Sydney with eight years of experience building production ML systems for recommender and advertising platforms. He specializes in CTR/CVR prediction, lookalike audiences, identity graphs and customer attribute modeling, and has productionized models using TensorFlow, Spark, Kubeflow and TFX. Kunze holds a PhD in NLP from the University of Sydney and brings research strengths in graph neural networks, knowledge graphs and abusive language detection to practical RecSys problems. His background spans applied research at Meituan and hands-on roles across multiple levels at Rokt, giving him a rare blend of academic rigor and end-to-end deployment experience. Outside work he continues independent research in NLP and recommendation trends, actively seeking new ideas and collaborations. He also speaks both research and product languages, having earlier experience as a data-driven product manager focused on SEO and monetization.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Geology, Geophysics and Seismology, Bachelor of Geology, Geophysics and Seismology at Nanjing University
The University of Sydney
Chinese, English