Keyhan Babaee
About Keyhan Babaee
Keyhan Babaee is a Machine Learning Engineer based in Vancouver, British Columbia, with experience in both computer vision and natural language processing. He has worked at notable companies including Cymax Group Technologies and Voiceflow, and holds a Master of Science in Mechanical Engineering from The University of British Columbia.
Current Role at Voiceflow
Keyhan Babaee serves as a Machine Learning Engineer at Voiceflow, a position he has held since 2022. In this role, he focuses on developing and implementing machine learning solutions that enhance the company's offerings. His work involves applying advanced techniques in artificial intelligence and machine learning to improve product functionality and user experience.
Previous Experience at Cymax Group Technologies
Before joining Voiceflow, Keyhan worked as a Senior Machine Learning Engineer at Cymax Group Technologies from 2020 to 2022. During his two years there, he contributed to various projects that leveraged machine learning to optimize operations and improve decision-making processes. His role involved collaborating with cross-functional teams to deliver innovative solutions.
Experience at FlareNet Network
Keyhan Babaee worked at FlareNet Network as an HQP from 2017 to 2020. Over the course of three years, he gained valuable experience in the field of machine learning and artificial intelligence. His responsibilities included working on projects that required a deep understanding of machine learning principles and their applications.
Educational Background in Mechanical Engineering
Keyhan holds a Master of Science (MS) in Mechanical Engineering from The University of British Columbia, where he studied from 2017 to 2020. Prior to that, he earned a Bachelor's Degree in Mechanical Engineering from Sharif University of Technology, completing his studies from 2012 to 2017. His educational background provides a strong foundation for his work in machine learning and technology.
Skills and Research Focus
Keyhan is skilled in utilizing Kubernetes to orchestrate workloads, which enhances infrastructure efficiency and reduces cloud computing costs. He is experienced in both computer vision and natural language processing, contributing to high-quality AI/ML projects. Additionally, he actively researches innovative approaches to solve problems in the machine learning field and simplifies complex technical concepts for non-technical audiences.