Taewoong Um
Vice President at COSMAX
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolTaewoong Um is a Vice President and founder-turned-executive with 11 years of experience building Physical AI and robotics systems that operate in the real world, currently leading COSMAX’s transformation around AI and Robotics Technologies. He founded ART Lab to innovate the beauty industry through AI and robotics and brings deep research roots from a PhD-level program at University of Waterloo where he developed deep learning methods to understand human and robot motion for applications from exercise recognition to Parkinson’s assessment. His hands-on engineering background spans unmanned ground vehicles, exoskeletons, and wearable sensing, giving him rare end-to-end expertise from hardware design to deployed machine learning. Based in Seoul, he blends academic rigor with startup grit and a track record of translating lab-scale motion understanding into commercial Physical AI products.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Mechanical & Aerospace Engineering (Robotics), Master of Science (MS), Mechanical & Aerospace Engineering (Robotics) at Seoul National UniversityPhD dropout, Electrical and Computer Engineering, PhD dropout, Electrical and Computer Engineering at University of Waterloo
Korean, English
Github Skills (26)
convolutional-neural-networks10
unicorns10
machine-learning10
recurrent-neural-networks10
deep-learning10
deep-neural-networks10
tensorflow9
neural-network9
data-augmentation9
robot8
simulation7
time-series7
robotics6
simulator6
jekyll-theme4
Programming languages (6)
Github contributions (5)
terryum/awesome-deep-learning-papers
Jun 2016 - Oct 2018
The most cited deep learning papers
Contributions:123 commits, 47 PRs, 119 pushes in 2 years 4 months
deep-learningdeep-neural-networksmachine-learning
terryum/TensorFlow_Exercises
May 2016 - May 2019
The codes I made while I practiced various TensorFlow examples
Contributions:15 commits, 14 pushes, 1 branch in 3 years
tensorflow
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