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.
8 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 (45)
depth-estimation10
depth10
visual-odometry9
lidar9
slam-algorithms9
orb9
prediction9
cpp8
pcl8
edtech7
open-source7
slam6
tensorflow6
open3d6
autoencoder6
Programming languages (6)
Github contributions (5)
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
cppsingle-imagec-plus-plusdepthestimation
yan99033/MiDaS-cpp
Oct 2020 - Jul 2021
Contributions:11 commits, 13 pushes, 1 branch in 9 months
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