Saypraseuth Mounsaveng is an AI Architect and trilingual research scientist with nine years of experience bridging industrial systems and cutting‑edge computer vision research. He holds a PhD in AI focused on learning visual recognition with limited data and has turned research into impact through peer‑reviewed publications and a granted US patent from work at Element AI. Comfortable moving between product and academia, he has taught deep learning, led data‑augmentation research using generative models, and now applies that expertise to architecting AI solutions at Evident Industrial. His background in global logistics and EDI systems gives him rare cross‑domain fluency—helping translate complex technical advances into deployable, business‑focused outcomes.
8 years of coding experience
4 years of employment as a software developer
2004, Computer Engineering, Master's degree in computer engineering, 2004, Computer Engineering, Master's degree in computer engineering at Université de Technologie de Belfort-Montbéliard
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at École de technologie supérieure (ÉTS)
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Saypraseuth Mounsaveng - AI Architect at Evident Industrial