Brian Mc Grath
About Brian Mc Grath
Brian McGrath is a Software Engineer specializing in backend development at isee ai in Cambridge, Massachusetts. He has a background in mathematics and computer science from Boston University and has held various engineering roles at Optum and Progress.
Work at ISEE AI
Brian McGrath has been employed as a Software Engineer - Backend at ISEE AI since 2021. His role involves developing backend solutions for autonomous vehicle systems in Cambridge, Massachusetts. During his tenure, he has contributed to engineering a mission-critical web application that enhances the management and operation of autonomous vehicles. His work has focused on improving customer success and developer velocity through innovative software solutions.
Previous Experience in Software Engineering
Prior to joining ISEE AI, Brian McGrath held multiple positions at Optum. He started as a Technology Development Program participant from 2017 to 2018, followed by a role as an Associate Software Engineer from 2018 to 2019. He then served as a Software Engineer from 2019 to 2021, accumulating a total of three years of experience at the company. Additionally, he completed a Software Development Internship at Progress in 2016.
Education and Expertise
Brian McGrath earned a Bachelor of Arts in Mathematics and Computer Science from Boston University, completing his studies from 2013 to 2017. He also graduated with a High School Diploma from Methuen High School, where he studied from 2009 to 2013. His educational background provides a strong foundation for his expertise in software engineering and backend development.
Technical Contributions and Projects
Throughout his career, Brian McGrath has made significant technical contributions. He enhanced the capabilities of the Autonomous Vehicle system by improving visibility around system disengagements and enabling remote execution of tasks. He implemented Fluent and OpenSearch for observability, which increased issue visibility and improved deployment processes. He also designed an operations interface for four-way intersections and led the migration to Kubernetes for deployments, utilizing Terraform for Infrastructure as Code.