Abdul Moiz
About Abdul Moiz
Abdul Moiz is an ML Engineer II at TELUS, specializing in Advanced Analytics and AI Enablement in Vancouver, British Columbia, Canada.
Current Role at TELUS
Abdul Moiz currently holds the position of ML Engineer II in Advanced Analytics & AI Enablement at TELUS in Vancouver, British Columbia, Canada. His role involves working on machine learning initiatives and contributing to the AI capabilities of the organization, aiding in the advancement and deployment of AI solutions.
Previous Positions at TELUS
Before his current role, Abdul Moiz worked at TELUS in various capacities. He served as an Engineer in Training in Advance Analytics & AI, and prior to that, worked in the Wireless Networks & Services DevOps team from 2020 to 2021 in Burnaby, British Columbia. Additionally, in 2018, he was a Small Cell Designer focusing on Big Data and 5G prep.
Experience at The University of British Columbia
Abdul Moiz has a history with The University of British Columbia (UBC), where he worked as a Deep Learning Consultant for the TELUS Capstone project from 2019 to 2020. He also spent time leading and participating in various technical projects with UBC Sustaingineering.
Educational Background
Abdul Moiz graduated with a Bachelor of Applied Science (B.A.Sc.) in Electrical Engineering with Distinction from The University of British Columbia. He completed his degree over a five-year period, from 2015 to 2020.
Roles in Electrical Engineering
In addition to his tenure at TELUS and UBC, Abdul Moiz was employed as a Junior Electrical Designer at Smith + Andersen, an electrical consultancy firm, for seven months in 2019. His diverse experience in electrical engineering roles has contributed to his technical proficiency and capability in handling complex projects.