Maksim Gorev
About Maksim Gorev
Maksim Gorev is a Machine Learning Engineer with experience in various engineering roles. He has worked at Triple Whale since 2022 and previously held positions at Университет искусственного интеллекта, CLAAS, and NPO Vertex.
Work at Triple Whale
Maksim Gorev currently serves as a Machine Learning Engineer at Triple Whale, a position he has held since 2022. His role involves developing and implementing machine learning models to enhance the company's data analytics capabilities. Triple Whale operates in the San Francisco Bay Area and offers a remote work environment, allowing Maksim to contribute to innovative projects from various locations.
Previous Experience in Machine Learning
Before joining Triple Whale, Maksim worked as a Machine Learning Engineer at Университет искусственного интеллекта from 2020 to 2022. During his tenure, he focused on various machine learning projects, applying his expertise to advance the university's research initiatives in artificial intelligence.
Engineering Background
Maksim has a solid foundation in engineering, having worked at CLAAS as a Process Engineer from 2019 to 2020 and as a Process Engineer Trainee from 2017 to 2019. His responsibilities included optimizing manufacturing processes and improving production efficiency. Prior to that, he was employed as a Petroleum Engineer at NPO Vertex from 2014 to 2017, where he engaged in projects related to petroleum extraction and resource management.
Education and Expertise
Maksim holds a Master of Engineering (MEng) degree from Kuban State University of Technology, which he completed from 2016 to 2018. He also earned a Bachelor of Engineering (BE) from the same institution, studying from 2011 to 2015. In addition, he has recently completed an Artificial Intelligence Professional Program at Stanford University in 2024, further enhancing his expertise in the field of artificial intelligence.