Jason Kuen
Research Intern at Adobe
Singapore
Summary
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SeniorJason Kuen is a research-focused engineer based in Singapore with 12 years of experience at the intersection of computer vision and machine learning. Currently a Research Intern at Adobe, he brings a background of academic and applied roles including research assistantships and project work at Nanyang Technological University and Multimedia University. His trajectory spans hands-on prototyping, peer tutoring, and industry internships, giving him a practical appreciation for turning research ideas into working systems. Jason’s long-term engagement in research roles suggests a depth in experimental design and reproducible evaluation beyond typical internship experience. He blends academic rigor with product-minded thinking, making him effective at bridging lab-scale models and real-world applications. Colleagues can expect a curious, methodical researcher who thrives on iterative improvement and cross-disciplinary collaboration.
12 years of coding experience
Github Skills (72)
python10
deep-learning10
gpu10
caffe10
alarm10
numpy10
clock10
pytorch10
residual-networks10
machine-learning10
robotics9
acceleration9
neural-network9
tensor9
computer-vision9
Programming languages (7)
Github contributions (5)
xternalz/WideResNet-pytorch
Mar 2017 - Aug 2019
Wide Residual Networks (WideResNets) in PyTorch
Contributions:16 commits, 2 PRs, 14 pushes in 2 years 5 months
deep-learningpytorchresidualresidual-networks
xternalz/DelugeNets
Nov 2016 - Mar 2017
Contributions:27 commits, 28 pushes, 1 branch in 4 months
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