Kevin Johnson, PhD
About Kevin Johnson, PhD
Kevin Johnson, PhD, is the Head of AI at dscout, where he has worked since 2023. He has extensive experience in AI and machine learning across various industries, including previous roles at Bryte, Caterpillar Inc., and Oracle.
Work at dscout
Kevin Johnson serves as the Head of AI at dscout, a position he has held since 2023. In this role, he focuses on leveraging artificial intelligence to enhance the company's offerings. His expertise in AI and machine learning allows him to lead initiatives that address customer needs through innovative technology solutions.
Previous Experience in AI and Engineering
Prior to his role at dscout, Kevin Johnson held several positions that contributed to his expertise in AI and engineering. He worked as the Director of AI & Cloud Architecture at Bryte from 2020 to 2022. He also served as a Senior Machine Learning Manager at Oracle | Datalogix from 2018 to 2020. His experience includes roles at Pen-Link, Ltd. as Data Science and Machine Learning Manager and as a Lead Big Data Scientist at Seagate Technology.
Education and Expertise
Kevin Johnson earned a Doctor of Philosophy (PhD) in Engineering from the Georgia Institute of Technology, where he also obtained a Master's degree in Aerospace, Aeronautical, and Astronautical Engineering. He completed his Bachelor's degree in Mechanical Engineering at Penn State University. His educational background supports his ability to transition AI research into practical applications across various industries.
Background in Research and Development
Kevin Johnson has a strong background in research and development. He worked as a Research and Development Engineer at Caterpillar Inc. for nine months and as a Graduate Researcher at the Georgia Institute of Technology for six years. His early career included a role as a Student Aerospace Engineer at the U.S. Army Research Lab and an internship at the National Robotics Engineering Center.
Leadership and Team Management Skills
Kevin Johnson excels in managing teams to develop machine learning and generative AI products. His leadership experience includes overseeing projects that focus on real customer problems and establishing technical product requirements. His ability to bridge the gap between AI research and practical implementation is a key aspect of his professional profile.