Summary
Glen Myrland is a Director of Building Technology and Data Analytics with over a decade of experience marrying mechanical engineering and data science to deliver IoT-driven smart building and infrastructure solutions. He leads design and implementation of cloud-based analytics stacks, sensor algorithms, and end-to-end IoT platforms—bringing deep expertise in firmware, APIs, advanced SQL, R/Python package development, and AWS. His background in forensic engineering and HVAC systems gives him a rare ability to trace mechanical failures from sensor signals through to root-cause, making his analytics recommendations highly actionable. Glen has a track record of scoping and delivering complex IIoT and smart city projects while building and mentoring technical teams. He combines hands-on Linux and software development skills with formal training in data analytics and mechanical engineering, enabling him to translate messy real-world datasets into robust operational insights.
10 years of coding experience
1 year of employment as a software developer
Toronto Metropolitan University
Bachelor of Applied Science (B.A.Sc.), Mechanical Engineering, Bachelor of Applied Science (B.A.Sc.), Mechanical Engineering at University of Waterloo