Owen Ren
About Owen Ren
Owen Ren is a Senior Machine Learning Engineer at TELUS, specializing in Generative AI and chatbot development.
Company
Owen Ren is currently employed at TELUS, a prominent telecommunications company. In his capacity as Senior Machine Learning Engineer within TELUS's AI Accelerator, Owen is at the forefront of innovative AI developments, particularly in generative AI and chatbot creation.
Title
Owen Ren holds the title of Senior Machine Learning Engineer at TELUS AI Accelerator. His role involves spearheading the development of generative AI applications and tools, contributing significantly to the enterprise's technological advancements.
Education and Expertise
Owen Ren earned his Bachelor of Applied Science (BASc) in Electrical Engineering from The University of British Columbia, completing his studies from 2016 to 2021. His educational background in electrical engineering equips him with a solid technical foundation, further enhanced by his expertise in machine learning, Python, SQL/BigQuery, and MLOps. He also has extensive experience with Langchain, Azure OpenAI, FastAPI, and Kubernetes.
Professional Background
Owen Ren's professional journey includes notable roles at TELUS, General Motors, and UBC. At TELUS, he has transitioned from Data Scientist in RAN Performance to Machine Learning Engineer and now Senior Machine Learning Engineer within the AI Accelerator. His previous roles include Embedded Systems & Controls Co-op at General Motors and Student Researcher at UBC AURORA Connected Vehicle Test Bed. Additionally, he has worked as a Drone Developer at UBC Unmanned Aircraft Systems and as a Sales Associate at WDFG.
Achievements at TELUS
In his current role at TELUS as Senior Machine Learning Engineer in the AI Accelerator, Owen Ren leads the development of generative AI use-cases and tools at an enterprise level. He is responsible for creating and deploying chatbots using Langchain and Azure OpenAI, with technology implementations like FastAPI and Kubernetes on GCP. His work involves the entire chatbot development pipeline, including data extraction, chunking, prompt engineering, and vector database search optimization.