Thomas Veasey is a seasoned machine learning professional with extensive experience in software development and research. Currently serving as Distinguished Machine Learning Engineer at Elastic since September 2016, Thomas leads research on Machine Learning capabilities within the Elastic Stack, focusing on search relevance and language generation. Prior roles include Director of Research and Development at Prelert, where Thomas oversaw the development of software for automatic anomaly detection in large streaming data sets, and Senior Developer at Bloomberg LP, contributing to FX derivatives pricing. Additionally, Thomas has held positions at Azuro as an architect and at Analyticon Limited as a consultant. Thomas holds a degree from the University of Cambridge.
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