Summary
Paul Micaelli is a Machine Learning Engineer with a PhD in AI and nine years of experience building production-grade ML systems that bridge cutting-edge research and engineering. His doctoral work—patented by NVIDIA and cited broadly—pushed state-of-the-art in vision, meta-learning, model compression and optimization, and led to top-tier publications including CVPR. In industry he has designed and deployed large-scale perception and temporal models for autonomous driving, built VLM-based tools for data interpretation, and led distributed training pipelines on AWS. Currently at Wayve, he focuses on off-road model evaluation while staying active in the latest LLM/VLM advances. Colleagues describe him as someone who prefers hands-on, in-person collaboration and who excels at turning research breakthroughs into robust MLOps solutions.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at The University of Edinburgh
Master of Science - MS Physics, Master of Science - MS Physics at Imperial College London
English, French