Matt 💻 Sandler 🤖

Matt 💻 Sandler 🤖

Senior Server Side Software Engineer @ Feed Media Group

About Matt 💻 Sandler 🤖

Matt Sandler is a Senior Server Side Software Engineer specializing in server-side technologies such as Apollo GraphQL and ElasticSearch. He has extensive experience in software engineering, data science, and machine learning, with a strong background in JavaScript and TypeScript.

Current Role at Feed Media Group

Matt Sandler serves as a Senior Server-Side Software Engineer at Feed Media Group since 2020. In this role, he specializes in server-side technologies, utilizing a diverse tech stack that includes Node.js, React, and Cake PHP. His expertise in Apollo GraphQL and ElasticSearch contributes to the development and optimization of server-side applications.

Previous Experience at PNC

Matt Sandler worked at PNC as a Senior Software Engineer from 2016 to 2020. During his four years in this position, he was involved in various software development projects within the Greater Pittsburgh Area. His role focused on enhancing software solutions and improving system performance.

Educational Background

Matt Sandler studied at Carnegie Mellon University, where he earned a Bachelor's degree from 2007 to 2012. He furthered his education at Israel Tech Challenge, achieving a fellowship in Data Science and Cybersecurity from 2015 to 2016. This educational background has equipped him with a strong foundation in technology and data analysis.

Technical Skills and Expertise

Matt possesses advanced skills in JavaScript and TypeScript programming languages. He has expertise in both relational and non-relational databases, including MySQL and BigQuery. His technical proficiency extends to server-side technologies and machine learning, which he developed during his internship at PayPal and his role at Check Point Software Technologies, Ltd.

Teaching Experience at The George Washington University

Matt Sandler served as a Data Science Instructor at The George Washington University from 2020 to 2021. In this role, he shared his knowledge and expertise in data science with students, contributing to their understanding of the field and its applications.

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