Summary
Liam Scholte is a Senior Software Engineer with 11 years of experience building intelligent video management and investigative features for Motorola Solutions' Avigilon products. He has progressed from implementing core analytics—Unusual Activity Detection, facial recognition, license plate recognition, and Appearance Search—to senior-level responsibilities across the platform. Liam holds an M.S. in Computer Science from Northeastern and a B.Eng. in Software Engineering from the University of Victoria with specializations in graphics, gaming, and computational intelligence, which inform his work on real-time vision systems. His background includes test automation for Frostbite at EA and prototype earthquake detection and iOS warning apps at Ocean Networks Canada, showing a mix of robust engineering and applied research. Based in North Vancouver, he maintains a public GitHub portfolio and brings a practical blend of academic rigor and production-grade machine perception experience.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering, Software Engineering, Bachelor of Engineering, Software Engineering at University of Victoria
Master of Science, Computer Science, Master of Science, Computer Science at Northeastern University