Summary
Dan Erusalimchik is a Senior Autonomy Engineer with over a decade of hands-on experience designing and shipping autonomy, SLAM, and multi-robot systems across industrial and aerial platforms. He has driven R&D from research prototypes to production features—most recently inventing and developing an Autonomous Mission System and path-planning/obstacle-avoidance capabilities for drone swarms at Teledyne FLIR. His background spans decision-making and multi-agent teamwork, visual odometry and high-altitude localization, and lifelong indoor localization for industrial robots, backed by an M.Sc. in AI and Robotics. Comfortable in C++, Python, ROS and Linux, he excels at turning novel research (including particle-filter VO proof-of-concepts) into integrable solutions that leverage deep learning where needed. Known as a pragmatic problem-solver and SME, he blends academic rigor with product-focused engineering to tackle perception, planning, and coordination challenges. Based in Kitchener, Ontario, he brings rare cross-domain experience from medical and DARPA robotics projects to commercial autonomy programs.
12 years of coding experience
15 years of employment as a software developer
B.Sc., Computer Science, B.Sc., Computer Science at Netanya Academic College
M.Sc., Computer, AI, Robotics, M.Sc., Computer, AI, Robotics at Bar-Ilan University
English, Russian, Hebrew