Razi Bayati

Razi Bayati is a skilled professional with extensive experience in data analysis, machine learning, and teaching. Current roles include Delivery Solution Architect at Databricks and Teaching Faculty at University Canada West. Prior positions encompass Machine Learning Engineer at Rogers Communications, where Razi led the development of AI frameworks, and Data Scientist at Theory+Practice. Earlier experience includes work as a Data Analyst at Huawei Technologies and Nokia, as well as multiple teaching assistant roles at institutions such as Amirkabir University of Technology and the University of British Columbia. Razi holds a Master of Science in Electrical, Electronics, and Communications Engineering from the University of British Columbia, and actively contributes to the MLOps World as Vancouver Chapter chair.