Duc Nguyen is a Ph.D. candidate-turned-research engineer with a decade of experience applying deep learning to real-world problems across industry and academia. Currently an Ingénieur Recherche at Ennov and formerly a CNRS doctoral researcher at INSA Rennes/IRISA, he focuses on explainable AI for NLP leveraging attention mechanisms. His background spans computer vision and industrial R&D (Michelin), precision agriculture and oncology ML studies (LAAS-CNRS), and full-stack/mobile development, giving him an uncommon blend of research rigor and product-minded engineering. Trained in deep learning and distributed systems at INSA Toulouse and experienced in DevOps and back-office architectures, he routinely translates complex models into deployable solutions. Colleagues appreciate that he pairs academic depth with practical delivery—often surfacing interpretability insights that make models actionable for non-experts.
10 years of coding experience
1 year of employment as a software developer
Docteur en informatique Deep learning, Docteur en informatique Deep learning at INSA Rennes
DU PFST Production, DU PFST Production at IUT MONTPELLIER-SETE
semestre d'échange Informatique, semestre d'échange Informatique at Université du Québec à Chicoutimi
Diplôme d'ingénieur Informatique & Réseaux Spécialité en Big Data et Système Distribué, Diplôme d'ingénieur Informatique & Réseaux Spécialité en Big Data et Système Distribué at INSA Toulouse - Institut National des Sciences Appliquées de Toulouse
DUT Informatique Informatique, DUT Informatique Informatique at IUT de Paris - Rives de Seine
Contributions:4 pushes, 1 branch in 4 years 11 months
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