Shing-yan Loo
Founder at ClaireSense
Edmonton, Alberta, Canada
Summary
👤
Senior🎓
Top SchoolShing-yan Loo is a founder and computer vision specialist with nine years of experience applying deep learning to visual SLAM and robotics, now leading ClaireSense from Edmonton. His PhD work and industry role at Mojow Autonomous Solutions translate into practical advances like using state-of-the-art depth prediction to improve scene reconstruction and camera tracking. Comfortable moving research into product, he has a background in mechatronics and hands-on robotics development dating back to embedded and perception work at Neuramatix. He brings a blend of academic rigor and startup pragmatism, plus a persistent curiosity for learning and problem-solving that keeps his technical skills current.
9 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Mechatronics Engineering, Bachelor's degree, Mechatronics Engineering at UCSIMaster of Science - MS, Robotics, Master of Science - MS, Robotics at Universiti Putra Malaysia
Chinese, English, Malay
Github Skills (33)
depth-estimation10
visual-odometry9
boost9
slam9
depth9
cpp9
prediction8
oop7
pytorch7
git7
tensorflow7
slam-algorithms7
kalman-filter6
computer-vision5
least-squares5
Programming languages (6)
Github contributions (5)
yan99033/MiDaS-cpp
Oct 2020 - Jul 2021
PyTorch C++ implementation for single-image relative depth estimation (MiDaS)
Contributions:11 commits, 13 pushes, 1 branch in 9 months
cppdepth-estimationpytorchboostdepth-prediction
yan99033/monodepth-cpp
Jul 2018 - Apr 2021
Tensorflow C++ implementation for single-image depth estimation (Monodepth)
Contributions:35 commits, 1 PR, 20 pushes in 2 years 9 months
cppdepth-estimationtensorflow
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