Summary
Boyu Zhang is a Machine Learning Engineer and PhD in Computer Science based in Sydney, blending academic rigor with product-focused impact across AI, generative models, and multimodal systems. He has 3+ years delivering production ML at scale—most recently building LLM-based moderation and proactive detection systems at TikTok that cut manual review by 85% and lowered egregious messaging violations by 60%. As CTO of AI4Finance Foundation he led instruction-tuned and RAG pipelines for financial NLP and end-to-end quant trading workflows, while earlier roles at Alibaba and Beihang demonstrate deep expertise in large-scale multimodal pretraining, human-in-the-loop systems, and applied inverse-scattering research. Comfortable across Python, PyTorch, TensorFlow and deployment stacks, he moves models from SOTA research into measurable product improvements and cross-functional adoption. Notably, his work spans both platform-level routing frameworks for massive traffic and vulnerability-aware generative AI for code, reflecting a rare mix of systems thinking and domain-specific model tuning.
2 years of coding experience
3 years of employment as a software developer
Master Survey and Mapping, Master Survey and Mapping at Wuhan University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Swinburne University of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at RMIT University
English, Chinese