Sepehr Ataei
About Sepehr Ataei
Sepehr Ataei is a Client Solutions Analyst at Arteria AI, with a background in engineering and sales. He has experience in machine learning, research, and sales engineering, having worked at Mitacs, Wolf Advanced Technology, and The Hospital for Sick Children.
Work at Arteria AI
Sepehr Ataei has been employed at Arteria AI as a Client Solutions Analyst since 2021. In this role, he focuses on providing analytical support and solutions to clients, leveraging his background in engineering and technology. His responsibilities include analyzing client needs, developing tailored solutions, and ensuring client satisfaction through effective communication and problem-solving.
Previous Experience in Machine Learning and Engineering
Before joining Arteria AI, Sepehr Ataei worked as a Machine Learning Engineering Intern at Mitacs from 2019 to 2020 for a duration of eight months. During this internship, he gained hands-on experience in machine learning applications, contributing to projects that involved data analysis and algorithm development. Prior to that, he served as a Sales Engineer at Wolf Advanced Technology from 2017 to 2019, where he was responsible for technical sales support and client engagement.
Research Experience at The Hospital for Sick Children
In 2017, Sepehr Ataei worked as a Research Assistant at The Hospital for Sick Children in Toronto, Ontario, Canada. This position lasted for four months and involved assisting in research projects, contributing to the advancement of medical knowledge and practices. His role included data collection, analysis, and collaboration with healthcare professionals.
Education in Engineering Disciplines
Sepehr Ataei pursued his education at Ryerson University, where he earned a Bachelor of Engineering (B.Eng.) in Bioengineering and Biomedical Engineering from 2013 to 2017. Following this, he continued his studies at the same institution, achieving a Master of Applied Science in Electrical Engineering from 2018 to 2020. His academic background provides a strong foundation in both biomedical and electrical engineering principles.