Summary
Eitan Mendelowitz is a Senior Software Engineer with 11 years of professional experience who blends advanced computer vision and sensor systems expertise with a rich background in interactive media and AI. Currently on Woven Planet’s Automated Mapping Platform, he applies change-detection algorithms to vehicle video and sensor streams to identify shifts in signage, signals, and road markings. His career bridges industry and academia—from perception engineering at CARMERA to teaching computer science and interactive art at Mount Holyoke, Smith College, and UCLA—bringing both production-grade engineering and pedagogical clarity. A longtime creative coder and installation artist, he has built person, vehicle, and hand-tracking systems for large-scale public works and performances featured at SIGGRAPH and Ars Electronica, which gives him a pragmatic appreciation for real-time, embodied interactions often overlooked in mapping and perception teams.
10 years of coding experience
13 years of employment as a software developer
BA, Mathematics-Computer Science, BA, Mathematics-Computer Science at Wesleyan University
Ph.D., Computer Science, Ph.D., Computer Science at University of California, Los Angeles