Shield AI
Conor Sullivan is a Staff Software Systems Engineer at Shield AI since May 2023, having previously served as a Senior Software Systems Engineer. Prior experience includes working as a Systems Engineer at G2 Ops, Inc. from September 2020 to May 2023, where responsibilities included project management and technical leadership in support of the Common Submarine Radio Room Information Support Plan and collaboration with Joint Staff J6 for Submarine Fleet Joint Interoperability certification. Conor's background also features a brief tenure as a student in a Cybersecurity Bootcamp at UC San Diego Extension in 2019, experience as a Software Engineer at Boeing in 2017, and a Firmware Engineer Intern at Hamilton Company in 2015, focusing on driver development and hardware integration. Conor holds a Bachelor’s Degree in Computer Science from the University of Nevada, Reno, attained from 2013 to 2016.
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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.