Chris Pagnotta is a Principal Engineer at Qualcomm, where they lead algorithm and software development for multi-modality machine learning based fusion and various projects in sensors, machine learning, computer vision, and signal processing. Previously, Chris served as a Senior Staff Engineer at Qualcomm, specializing in ARM-based TrustZone and security architecture for next-generation systems. Prior to that role, Chris worked as a Software Engineer at Viasat, focusing on developing security solutions and overseeing FIPS 140-2 certifications. Chris is currently pursuing a Master of Science in Computer Science with a focus on Computational Perception and Machine Learning at Georgia Institute of Technology, while also studying Computer Science at the University of California, Santa Cruz.
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