Scott Reid
About Scott Reid
Scott Reid is a Software Team Lead at Brock Solutions, specializing in innovative applications of AI for cost-effective problem-solving. He has previous experience at BlackBerry, Miovision, Sandvine, and the University of Waterloo, and holds a Bachelor's degree in Software Engineering from the University of Waterloo.
Work at Brock Solutions
Scott Reid has been employed at Brock Solutions since 2014. He initially served as a Software Developer on the CATSA Team for four years before transitioning to his current role as Software Team Lead for the Q Team in 2021. In his leadership position, he oversees software development projects and manages team operations. Additionally, he leads the Air Canada Team, which he has been a part of since 2018. His experience at Brock Solutions encompasses various aspects of software engineering and team management.
Education and Expertise
Scott Reid earned a Bachelor's degree in Software Engineering from the University of Waterloo, where he studied from 2007 to 2013. His educational background provided him with a solid foundation in software development principles and practices. He also completed his high school education at Goderich District Collegiate Institute from 2003 to 2007. His expertise includes innovative applications of artificial intelligence, particularly in enhancing cost-effectiveness in problem-solving.
Background
Scott Reid has a diverse background in software development, having worked in various roles since 2008. His early experience includes co-op positions at the University of Waterloo, Miovision, and BlackBerry. He later worked as a Software Engineer at Sandvine from 2011 to 2014. His career reflects a consistent focus on software development and engineering, with a particular interest in integrating advanced technologies such as AI and facial recognition.
Achievements
During his tenure at Sandvine, Scott Reid developed a queue management system that utilized facial recognition technology to assess passenger wait times. He also implemented AI-driven object detection to enhance safety on baggage conveyor systems, ensuring human presence was detected and systems were shut down when necessary. These projects demonstrate his ability to apply innovative technology solutions to real-world challenges.