Summary
Mo Shan is a robotics engineer with nine years of experience specializing in visual-inertial odometry, SLAM, and 3D perception for real-world robotic platforms. He has applied tightly coupled geometric and semantic mapping techniques across academia and industry, building C++/ROS systems tested on RealSense cameras and NVIDIA Jetson embedded hardware. His work spans graduate research at UCSD—where he implemented distributed SLAM variants like OrcVIO and object-residual constrained VIO—to production-focused roles at Continental and now Changi Airport Group developing perception for cleaning robots. Mo blends strong optimization and computer vision skills with practical deployment experience on quadrotors and ground robots, and has interned at Meta Reality Labs on AR/VR problems. He holds degrees from NUS, Southampton and a master’s from UCSD, and is notable for unifying object-level semantics with scalable, real-time localization on constrained platforms.
9 years of coding experience
10 years of employment as a software developer
University of California San Diego
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at University of Southampton
Bachelor's degree, Electrical and Electronics Engineering, GPA 4.84/5, Bachelor's degree, Electrical and Electronics Engineering, GPA 4.84/5 at National University of Singapore