Summary
Khieu Nguyen is a data scientist based in Paris with about nine years of research and industry experience and five years focused on NLP deep learning and production ML. He has built real-time, GPU-accelerated NLP systems for skill extraction and matching at Boostrs and now applies data-driven product thinking at Visier. His background includes a PhD and postdoctoral work in imaging and numerical methods where he implemented GPU Monte-Carlo simulations and accelerated diffusion MRI modelling from weeks to minutes. Comfortable across Python, GCP, Kubernetes and CUDA, he bridges rigorous computational science with practical ML deployment. Notably, his work spans both compressed-sensing MRI sequence development and scalable NLP pipelines, revealing a rare blend of medical-imaging research and production ML engineering.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Université Paris-Saclay
Doctor of Philosophy (PhD), Imaging and Medical Physics, Doctor of Philosophy (PhD), Imaging and Medical Physics at Paris-Sud University (Paris XI)
Master 2, Applied Mathematics, GPA: 17.26/20, Master 2, Applied Mathematics, GPA: 17.26/20 at Université Paris 13
Master of Science (M.Sc.), Applied Mathematics, Master of Science (M.Sc.), Applied Mathematics at École Polytechnique
Bachelor of Science (B.Sc.), Mathematics and Computer Science, Bachelor of Science (B.Sc.), Mathematics and Computer Science at VNUHCM - University of Science
English, Vietnamese