GA-CCRi
Thomas Miano is a skilled Senior Full-Stack Machine Learning Engineer with a strong background in data science, software engineering, and project management. With experience working at various prestigious institutions like Nike, Harvard University, and RTI International, Thomas has a proven track record of developing AI and data-powered digital tools in sports, fitness, public health, and other industries. With a Master of Science in Data Science from the University of Virginia, Thomas is well-equipped to tackle complex data challenges and drive innovation in the field of machine learning and data analytics.
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GA-CCRi
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GA-CCRi maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!