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Charles Law has been working in the software engineering and data science fields since 2006. From 2006-2012, they worked at Lockheed Martin as a Data Scientist Lead and Engineering LDP. During their time there, they organized R&D teams, designed algorithms, implemented and trained a machine learning based classifier, and managed a $1.5M budget for hardware and software. From 2012-2014, they worked at OpenX as a Senior Software Developer, where they rewrote a RESTful API in Python and worked with NoSQL databases, AMQP, and other distributed technologies. From 2014-2018, they worked at Conduce Inc. as a Senior Software Developer, where they developed the first version of a cloud based API in Go (Golang) and helped build JavaScript React UI including WebGL data visualization components. Finally, from 2018 to present, they have been working at Eyenuk, Inc. as a Principal Software Engineer, where they have overseen the company's software architecture and design, and successfully scaled the system from a pre-revenue research tool to supporting national deployments and large enterprise sales in the US. Charles has also overseen software documentation for the company's first FDA approved 510(k) submission for an autonomous AI and for EU regulatory submissions.

Charles Law attended GHAMAS from 1999 to 2002 and earned a High School Diploma. Charles then went on to Cornell University and obtained a B.S. in Electrical and Computer Engineerings from 2002 to 2006. Charles completed their studies at Cornell University with a M.Eng in Systems Engineering from 2006 to 2009.