Summary
Lichuan Xiang is a machine learning engineer and researcher with eight years of experience specializing in deep learning, computer vision, AutoML, generative and language models. Currently at Apple and an Honorary Research Fellow at the University of Warwick, he bridges applied ML in industry with academic research in ML systems and image interpretation. His background includes building AutoCV platforms, NAS and super-resolution research with Samsung, and deploying production ML tooling (multi-GPU training, Docker, TF profiling) at 4Paradigm where his AutoCV work outperformed human baselines on multiple benchmarks. He has applied RAG systems for legal file analysis and led interdisciplinary projects such as street-view image understanding and stylometry, demonstrating versatility across domains. Fluent in both engineering and research workflows, he often moves ideas from prototyped neural architectures to scalable training and deployment. An underappreciated strength is his blend of hands-on production engineering (tooling, deployment, efficiency profiling) with deep academic rigor from a PhD at Warwick.
8 years of coding experience
5 years of employment as a software developer
工学学士 数字媒体技术-Digital Media Tech, 工学学士 数字媒体技术-Digital Media Tech at Huaqiao University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Warwick
Chinese, Chinese