GA-CCRi
Austin Heyne is a Software Engineering Manager at GA-CCRi, leading a team that focuses on creating a common stack built on Kubernetes. With experience as a Principal Software Engineer, Austin has managed a large interdisciplinary team and developed a library for Kafka Streams to enhance real-time analytics for geospatial data. Previous roles include senior software engineering positions where Austin led teams handling complex production systems and architected a large-scale HBase database capable of ingesting over 9 billion records daily. Additionally, Austin contributed to the open-source project GeoMesa and has a background in IT services, systems administration, and lab management from the University of Oklahoma, coupled with a Bachelor's degree in Mathematical Programming.
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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!