Gabriel Davis

Gabriel Davis has worked as a software engineer since 1996. From 1996 to 1998, they served as a Systems Programmer at Facilities & Services Corp., where they performed complex compiler conversion on a legacy codebase and ported critical data processing tools from MS-DOS to Win32. From 1998 to 2006, they worked as a Software Engineer at Micro-Vu Corp., where they lead GUI & infrastructure development on InSpec, an automated inspection system for manufacturing applications. In 2006, they returned to Visicon Technologies, Inc. as a Software Engineer, where they developed automated stage calibration and non-linear distortion correction algorithms for a new flat-scanning inspection platform. From 2007 to 2009, they worked as a Software Engineer at Solmetric Corporation, where they created software installers for desktop & mobile applications and developed localization frameworks and multi-lingual GUI designs. From 2009 to 2016, they worked as a Senior Software Engineer at Electro Scientific Industries, Inc., where they were a key software engineer on Geode, a PCB via-drilling system for High Density Interconnect (HDI) applications. Since 2020, they have worked as a Senior Software Engineer at C2Sense, Inc., where they are the lead algorithms engineer for AuthenTags, a groundbreaking technology with applications in anti-counterfeiting and package integrity verification, and for Halo, an embedded device for rapid medical and environmental diagnostics applications.

Gabriel Davis obtained a BS in Mathematics from the University of California, Davis from 1992 to 1996. Gabriel also obtained several certifications from Coursera and PyImageSearch, including PyImageSearch Gurus Graduate (2019), Convolutional Neural Networks (2018), Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (2018), Neural Networks and Deep Learning (2018), Structuring Machine Learning Projects (2018), Algorithms: Design and Analysis Part 2 (2013), and Algorithms: Design and Analysis Part 1 (2013).