Jay Lowe
About Jay Lowe
Jay Lowe is a Solutions Engineer at Bifrost AI, where he has worked since 2023. He has a background in software engineering and machine learning, with previous roles at various organizations including the Naval Postgraduate School and Monterey Bay Aquarium Research Institute.
Work at Bifrost AI
Jay Lowe has been employed at Bifrost AI as a Solutions Engineer since 2023. In this role, he has created the customer success business unit, focusing on guiding enterprise accounts through pilot programs to ensure sufficient return on investment for annual contract conversion. He also pioneered the generation of synthetic 3D data for computer vision models, contributing to the company's innovative solutions in artificial intelligence.
Previous Experience
Prior to his current role, Jay Lowe worked at several organizations in various capacities. He served as a Full Stack Engineer and Chair of Early Learning at Make School from 2020 to 2021. He was a Field Engineer at Roboflow from 2021 to 2023. His earlier experience includes working as a Full Stack Engineer and Instructor at ORION ACADEMY from 2019 to 2020, and as a Machine Learning Research Intern Leader at the Monterey Bay Aquarium Research Institute in 2018. Additionally, he held the position of Project Manager and Data Science Intern at Moss Landing Marine Laboratories in 2017.
Education and Expertise
Jay Lowe studied at California State University, Monterey Bay, where he earned a Bachelor of Science degree in Computer Science from 2015 to 2018. His educational background provides a strong foundation for his expertise in software engineering and machine learning, which he has applied throughout his career in various technical roles.
Contributions to Educational Content
Jay Lowe regularly contributes educational content to the blogs of Roboflow and Bifrost AI. His contributions focus on sharing knowledge and insights related to technology and artificial intelligence, helping to educate others in the field.
Internship Experience
Jay Lowe began his career with internships that provided valuable experience in programming and data science. He worked as a MATLAB Programming Intern at the Naval Postgraduate School in 2016 for two months and later took on roles that included leading machine learning research as an intern at the Monterey Bay Aquarium Research Institute in 2018.