Devin M.
About Devin M.
Devin M. is a Sr. Machine Learning Scientist at Blue River Technology, where he has worked since 2022. He has a strong educational background in engineering and physics, with degrees from Cranfield University, University College London, and Pomona College, and has held various roles in machine learning and data science across several organizations.
Work at Blue River Technology
Devin M. has been employed at Blue River Technology as a Senior Machine Learning Scientist since 2022. In this role, he focuses on developing advanced machine learning solutions to enhance agricultural technology. Prior to his current position, he served as a Machine Learning Scientist at the same company from 2020 to 2022. His work at Blue River Technology involves creating innovative algorithms and systems that improve the efficiency and effectiveness of agricultural practices.
Education and Expertise
Devin M. holds a Master of Science (M.Sc.) in Advanced Mechanical Engineering from Cranfield University, which he completed from 2013 to 2014. He also earned a Master's degree in Mechanical Engineering from University College London from 2011 to 2012. Additionally, he obtained a Bachelor of Science in Physics from Pomona College, where he studied from 2007 to 2011. His educational background provides a strong foundation in engineering principles and machine learning applications.
Professional Experience
Before joining Blue River Technology, Devin M. worked in various roles that contributed to his expertise in machine learning. He was a Lead Data Scientist at LoanSnap from 2019 to 2020, where he focused on data-driven solutions. Prior to that, he was a Machine Learning Wizard at Cognomotiv for eight months in 2018. His early career included an internship at NASA Ames Research Center from 2008 to 2011, where he gained valuable experience in research and development.
Machine Learning Projects
Devin M. has been involved in several significant machine learning projects. He developed machine learning solutions for the world's first live quadcopter shows, which were performed in front of large audiences. Additionally, he created gesture recognition systems for 2D video streams, which were deployed at scale in a cloud-based video conferencing solution. His work demonstrates a commitment to advancing technology through innovative applications of machine learning.