Summary
Nathan Burke is a software development engineer with 14 years of experience blending robotics, AI research, and enterprise software—currently building cloud-scale systems at AWS after roles leading robotics software at Amazon Global Robotics and Tortuga AgTech. He holds an MSc in Artificial Intelligence and completed PhD work focused on robotics, bringing research-grade rigor to production systems in C++, Python, Go, and embedded/ROS stacks. Nathan has led agent applications that coordinate perception, planning, mobility and hardware, and has architected enterprise control systems with strict stability and performance constraints. Beyond product work he contributes to open-source mobile tooling, improving UX and image caching for a notable XBMC Android remote, signaling a pragmatic attention to user-facing polish. Based in Golden, Colorado, he is particularly focused on making robots accessible and usable by non-specialists, combining human-centered design with robust engineering.
14 years of coding experience
16 years of employment as a software developer
BS Computer Science, BS Computer Science at Texas State University
Doctor of Philosophy (PhD ABD) Artificial Intelligence, Doctor of Philosophy (PhD ABD) Artificial Intelligence at University of Hertfordshire
English