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As Vice President of Engineering and Chief Data scientist, Sandra Carrico led the development of the GLYNT system, which specializes in data extraction from documents. She leads the software development team, ensuring rapid iteration and releases using agile software development.
Carrico invented WattzOn’s GLYNT machine learning project, which extracts data trapped in complex documents, as well as mixed formal learning, which is used in the GLYNT machine learning product.
Previously, she was VP of Engineering at a number of startups, and was also in engineering management at AT&T Bell Labs, Aurigin and AT&T Labs. Her advanced machine learning approach has been presented at technical conferences and is in papers on ARXIV and Medium.
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