Shield AI
Miguel Campo is an experienced professional with a strong background in AI research and data science. Miguel currently holds the position of Senior Manager, Vision & Planning Integration Lead at Shield AI, where they lead a team of AI scientists and software engineers in developing and integrating large models for unmanned combat aerial vehicles and robotic teaming. Prior to this, Miguel worked as a Research Scientist at Facebook, specializing in Multimodal Video Understanding and Reinforcement Learning. Miguel also served as the SVP of Data Science & Analytics at Twentieth Century Fox, where they directed the infrastructure and model development for movie trailer video understanding. Miguel has also held positions at Google, EY, The Walt Disney Company, and Dartmouth College, further demonstrating their expertise in the field.
Miguel Campo has a Doctor of Philosophy (PhD) in Machine Learning from New York University. Miguel also holds a Master of Science in Electrical Engineering (MSEE) from Universidad Politécnica de Madrid. Additionally, they have a degree in Flying Car with a specialization in Deep Learning from Udacity.
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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.