Viet Nguyen is a CEO and machine learning engineer with nine years of experience building AI-driven products and teams in Vietnam, blending deep technical roots in computer vision, NLP and distributed systems with product and company leadership. At Techainer he led development of cloud-native offerings—eKYC, Docchain and Horus—that delivered measurable impact (30x faster bank onboarding, ~1M digitized documents, and converting ordinary IP cameras into real-time face-recognition devices). Previously he led research and engineering on OCR, layout analysis and information extraction at Cinnamon AI and contributed image-handling and memory-optimizations to the high-profile OpenNMT-py project, extending its neural MT stack to better support image data. With an MS in Mathematics and Informatics and hands-on experience as CTO and architect, he pairs mathematical rigor with practical system design to ship scalable ML systems. Outside work he pursues meditation and mathematical inquiry, reflecting a bias toward thoughtful, resilient product and team cultures.
8 years of coding experience
5 years of employment as a software developer
Full Stacl Web Development Certification, Computer Software Engineering, Full Stacl Web Development Certification, Computer Software Engineering at Free Code Camp
Master of Science - MS, Mathematics and Informatics, Master of Science - MS, Mathematics and Informatics at Hanoi University of Science and Technology
Mathematics and Infomatics, 8.9, Mathematics and Infomatics, 8.9 at Ha Noi University of Science and Technology
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Role in this project:
ML Engineer
Contributions:16 commits, 3 PRs, 4 comments in 11 days
Contributions summary:Viet primarily contributed to the project by implementing and optimizing image processing functionalities within the neural machine translation framework. This involved adding image channel size options, handling grayscale images, and incorporating memory management techniques, such as dataset sharding and garbage collection, to optimize performance. The user's work also included modifying preprocessing steps to support image data. This demonstrates their focus on extending the project's capabilities to handle image-based data.
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Viet Nguyen - Chief Executive Officer at Techainer