Shield AI
Kevin Lane is a skilled software engineering manager and machine learning professional with extensive experience in the aerospace sector. At Shield AI, Kevin currently leads software engineering efforts while previously serving as a machine learning engineer at NAVWAR. Prior roles include managing external aerodynamics projects at General Atomics Aeronautical Systems and working as a guidance, navigation, and control engineer at Northrop Grumman Corporation. Kevin holds a Master of Advanced Study in Data Science & Engineering from UC San Diego and multiple degrees, including an M.S. in Aerospace Engineering from California Polytechnic State University. Additional certifications in machine learning, artificial intelligence, leadership, and data science further enhance Kevin's expertise in the field.
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Shield AI
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Shield AI builds self-driving technology that enables swarms of unmanned systems to operate on the edge without GPS, communications, or remote pilots. Further, by applying reinforcement learning to scalable simulations, Shield AI trains unmanned systems to learn new tactics and behaviors to autonomously accomplish new missions ranging from clearance operations with SUAS to breaching integrated air defense systems with Group 2-5 UAS.