Summary
Yunqiu Xu is a machine learning engineer based in Sydney with 10 years of technical experience and 5+ years focused on applied ML across recommendation systems, NLP, computer vision, and cybersecurity. Currently working on Live Trust & Safety at TikTok, Yunqiu applies LLM reasoning, multi-modal models, RAG, and test-time scaling to tackle misinformation and extreme-risk moderation. Prior roles include improving relevancy and upsell/payment recommendations at Rokt and an academic track record as a UTS PhD and postdoctoral researcher with multiple publications. Comfortable bridging research and product, Yunqiu rapidly prototypes state-of-the-art ideas into scalable pipelines and communicates results to cross-functional teams. A polymath background spanning polymer chemistry to reinforcement learning hints at uncommon breadth and a persistent appetite for mastering new domains.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Polymer Chemistry and Physics, Doctor of Philosophy - PhD, Polymer Chemistry and Physics at Zhejiang University
Master's degree, Information Technology, WAM 86, High Distinction, Master's degree, Information Technology, WAM 86, High Distinction at UNSW Australia
Doctor of Philosophy - PhD, Reinforcement Learning, Natural Language Processing, and Intelligent TransportationSystem, Doctor of Philosophy - PhD, Reinforcement Learning, Natural Language Processing, and Intelligent TransportationSystem at University of Technology Sydney
Data61 5th International Optimisation Summer School
Chinese, English