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    Lauren Moos

    Machine Learning Engineer

    Lauren Moos is a seasoned professional with vast experience in machine learning, focusing on high-throughput algorithms for streaming data, anomaly detection, density estimation, and computer vision.

    She boasts an impressive skill set in machine learning, encompassing Algorithmic Experimentation & Testing, Anomaly Detection, Density Estimation, Computer Vision, Neural Networks, Probabilistic Bayesian Models, and Active Learning.

    In terms of engineering capabilities, Lauren excels in Coding & Architecture, Application Performance, Software Quality, Security, and Accessibility.

    Her expertise in Software Development spans across Python, Java, Scala, Linux, Apache Spark, and Cassandra.

    She pursued her education at California State University-Fullerton, obtaining a Bachelors of Arts degree.

    Previously, Lauren Moos held roles including Research Engineer at AWS AI Labs, Research Engineer at Amazon Web Services (AWS), Senior Data Engineer at Aerohive Networks, and Software Engineer at Castle Rock Associates, Inc.

    Lauren Moos
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    Location

    San Francisco Bay Area