Saypraseuth Mounsaveng
AI Architect at Evident Industrial
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolSaypraseuth 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.
9 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-MontbéliardDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at École de technologie supérieure (ÉTS)
German, French, English, Spanish, Lao
Github Skills (16)
computer-vision9
image-processing9
python9
artificial-intelligence9
robotics9
deep-learning8
machine-learning8
pytorch8
meta-learning8
few-shot-learning8
ai7
servicenow7
neural-network7
intel5
dataloader4
Programming languages (3)
Github contributions (5)
ServiceNow/bilevel_augment
Jul 2020 - Dec 2020
bilevel_augment is a ServiceNow Research project that was started at Element AI.
Contributions:13 commits, 1 PR, 11 pushes in 4 months
aiservicenow
smounsav/Net2Net_Cifar10
Jun 2017 - Jun 2017
Contributions:4 pushes, 1 branch in 1 day
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