Summary
Kendrick Amezquita-Semprun is a Principal Engineer based in Singapore with nine years of experience developing vehicle behavior, path planning, and control algorithms for autonomous vehicles. He leads R&D at MooVita, shaping behavior development and the technology roadmap while translating control theory and neural-network approaches into production-ready software. Kendrick holds a doctorate in control theory from Beihang University and a Udacity certification in self-driving engineering, and has published multiple peer-reviewed papers and earned industry awards. His background spans academia, satellite systems, and robotics—where he introduced the Stimuli-Induced Equilibrium Point concept for ramp-merging—giving him a rare blend of theoretical rigor and hands-on systems engineering. Colleagues describe him as relentlessly curious, continually adopting new languages and tools (he has implemented mobile robot localization in Julia) to push the safety and performance of autonomous mobility.
9 years of coding experience
9 years of employment as a software developer
Doctor of Engineering, Control Theory and Control Engineering, 90.34/100, Doctor of Engineering, Control Theory and Control Engineering, 90.34/100 at Beihang University
Self-Driving Car Engineer, Self-Driving cars engineering, Self-Driving Car Engineer, Self-Driving cars engineering at Udacity
VENESAT-1 Satellite Professional Training, Telecommunication Satellites Design, VENESAT-1 Satellite Professional Training, Telecommunication Satellites Design at China Academy of Space Technology
Bachelor's degree, Electronics Engineering Major in Control and Automation, 15.33/20, Bachelor's degree, Electronics Engineering Major in Control and Automation, 15.33/20 at The National Experimental University of the Armed Forces - UNEFA
English, Spanish