Anh-quan Cao is a research scientist at Valeo.ai with 11 years of experience bridging academic depth and applied ML engineering in computer vision and deep learning. He earned a PhD-focused trajectory at PSL/École Polytechnique and has contributed to real-world projects across Valeo, Inria, Amazon, and TU Munich, including work on 3D uncertainty estimation, point cloud registration, and unsupervised CLIP fine-tuning with MLLM-generated text. His background spans startups and industry internships—founding two companies early in his career and delivering scalable algorithms such as distributed clustering using LSH during a CNRS internship. Comfortable moving between research and productization, he brings both theoretical rigor and hands-on experience deploying ML systems in automotive and perception contexts.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Université Paris-Saclay
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at University of Science and Technology of Hanoi
Contributions:2 releases, 119 pushes, 2 branches in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.