Dylan Moss
About Dylan Moss
Dylan Moss is a Machine Learning Engineer at TELUS in Vancouver, British Columbia, Canada, with a background in Electrical and Electronics Engineering from Queen's University.
Title
Dylan Moss is a Machine Learning Engineer currently working at TELUS in Vancouver, British Columbia, Canada. His role is hybrid, involving both in-office and remote work components.
Current Role at TELUS
In his current role at TELUS, Dylan Moss focuses on utilizing machine learning techniques to enhance various business operations. His standout projects include the development of a time-series forecasting model for managing network technician workforce activities, and a Recommender System designed to enhance customer engagement with video-on-demand services.
Previous Positions
Before his current position, Dylan Moss worked as an Electrical Engineering Intern at TELUS from 2019 to 2020 in Burnaby, British Columbia, where he gained foundational experience in electrical and electronics engineering. He also served as a team member of the Queen’s Machine Intelligence and Neuroevolution Design Team (QMIND) in Kingston, Ontario, from 2020 to 2021.
Education and Expertise
Dylan Moss obtained his Bachelor of Applied Science (BASc) degree in Electrical and Electronics Engineering from Queen's University, completing his studies from 2016 to 2021. His academic background provides a solid foundation in electrical and electronic principles, which he leverages in his machine learning projects at TELUS.
Key Projects and Initiatives
Dylan has spearheaded several impactful initiatives at TELUS. He led the deployment of a Reinforcement Learning model to optimize the control of data centers' HVAC systems, significantly reducing energy usage. He has also used Deep Learning and geospatial data analysis to improve network resilience to extreme weather events. Additionally, Dylan has applied advanced machine learning forecasting, automation, and software development techniques to improve the network experience for TELUS' 9 million wireless customers.