Robert Canady is a Lead Consultant and applied researcher with 13 years of experience blending adversarial ML, computer vision, and edge computing to build robust, production-ready systems. He holds advanced degrees in electrical engineering from Vanderbilt and Transylvania University backgrounds in mathematics and physics, which inform a rigorous, analytical approach to software and hardware problems. His work spans academia and industry—developing adversarially robust neural networks with AFRL and deploying edge-centric communications on platforms like BeagleBone and Raspberry Pi under Siemens- and NSF-funded projects. Transitioning from a PhD and postdoctoral research into consulting, he now focuses on secure, distributed AI for constrained environments and networked systems. Based in Nashville, he is passionate about applying technology to environmental and food-security challenges, bringing both domain-driven curiosity and hands-on experience with protocols such as DDS, OPC UA, and MQTT.
13 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA, Physics and Mathematics, Graduate, Bachelor of Arts - BA, Physics and Mathematics, Graduate at Transylvania University
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at Vanderbilt University
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