Minh Nhat is a data scientist and AI engineer with eight years of hands-on experience building production-ready software and machine learning systems, currently interning on GAN-based facial normalization at Amadeus. He holds an MSc with highest honors from Université Côte d'Azur and combines strong Python expertise with practical experience in C++, R, Java, backend APIs and web components. His work spans the full ML pipeline—from 3D face reconstruction and GAN training to metric-driven evaluation and integration with real-world recognition systems. Earlier roles include backend development for healthcare data platforms and refactoring a scientific visualization tool (MGExplorer) into reusable web components, demonstrating both product sensibility and engineering rigor. Comfortable moving between research and production, he has a track record of shipping end-to-end solutions such as dermatology image predictors and data management APIs.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science and Artificial Intelligence, Highest Honors, Master of Science - MS, Data Science and Artificial Intelligence, Highest Honors at Université Côte d'Azur
The degree of engineer, Information Technology, The degree of engineer, Information Technology at Danang University of Science and Technology
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