Shawn Chen
Principal Scientist at Viscovery
Taipei, Taiwan
Summary
👤
Senior🎓
Top SchoolShawn Chen is a Principal Scientist based in Taipei with nine years of applied research and product experience in computer vision, machine learning, and deep learning, primarily focused on object detection and representation learning for retail. He has progressed from hands-on algorithm engineering and hardware-aware deployment at Foxconn to leading algorithm teams and R&D at Viscovery, bridging research rigor with production constraints. Currently pursuing a PhD at NYCU, he investigates visual in-context prompting with foundation models, bringing fresh academic insight to commercial vision systems. Shawn’s background in both hardware (Jetson, FPGA, router bring-up) and large-scale model development gives him a practical edge in optimizing models for constrained environments and real-time applications.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Machine Learning, Object Detection, Master's degree, Machine Learning, Object Detection at National Chiao Tung University
English, Chinese
Github Skills (33)
caffe9
weighting8
nvidia-docker8
machine-learning7
gpu7
deep-learning7
loss7
softmax7
nvidia6
cuda6
image-data6
theano6
docker6
synthetic6
semantic-segmentation5
Programming languages (4)
Github contributions (5)
kertansul/dl-docker
Oct 2016 - Apr 2021
Contributions:14 releases, 77 commits, 62 pushes in 4 years 6 months
docker-imagedeep-learningall-in-onetheanotorch
kertansul/caffe-fast-rcnn
Nov 2016 - Nov 2017
Contributions:1 release, 1 push, 2 branches in 1 year
pytorchdeep-learningr-cnnmachine-learningcaffe
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