Duong Nguyen is a machine learning researcher and practitioner with 8 years’ experience specializing in deep learning for time series, stochastic systems, and noisy or irregularly sampled data. Based in France, he has translated academic advances into production-ready solutions across industry and research—from maritime anomaly detection and AIS modeling to supply optimization covering 20k+ points of sale. A PhD holder with multiple first-author publications and commercialized prototypes, he combines strong variational and probabilistic modeling skills with practical engineering in Python, TensorFlow and PyTorch. Known for leading and mentoring small research teams, he excels at quickly adapting to diverse international environments and turning complex dynamical problems into explainable, reproducible models. An often overlooked strength is his track record of integrating research prototypes into large-scale operational systems (e.g., maritime awareness platforms), demonstrating both scientific depth and deployment savvy.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Deep learning, Doctor of Philosophy - PhD Deep learning at IMT Atlantique
Diplôme d'Ingénieur Machine learning Summa cum laude honor, Diplôme d'Ingénieur Machine learning Summa cum laude honor at Telecom Bretagne
Master Signal and Image Processing Summa cum laude honor, Master Signal and Image Processing Summa cum laude honor at Université de Rennes I
Bachelor of Engineering (B.Eng.) Telecommunications Engineering, Bachelor of Engineering (B.Eng.) Telecommunications Engineering at Ho Chi Minh City University of Technology
Contributions:32 commits, 50 pushes, 1 branch in 1 day
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.