Kevin Johnson, a Machine Learning Leader, Data Scientist, Architect, and AWS Cloud expert, has a diverse background that makes him an asset in solving complex real-world problems. He studied at Georgia Institute of Technology where he earned his Doctor of Philosophy (PhD) in Engineering, a Master's degree in Aerospace, Aeronautical, and Astronautical Engineering, and his Bachelor's degree in Mechanical Engineering from Penn State University.

Johnson's professional experience includes being a Director of Machine Learning & Data Science at Bryte, a Founder of Kevin Johnson PhD, a Senior Manager of Machine Learning, Identity Graph at Oracle - Datalogix, a Manager of Advanced Analytics - Data Scientist, Software Dev, Python, Spark, AWS, and Design Sprints at Pen-Link, Ltd. Additionally, he was a Co-founder, Data Scientist, Project Management, Big Data Consultant at Johnson and Voronov, LLC, Big Data Scientist - Team Lead - Machine Learning - Python, Spark, Cassandra at Seagate Technology, Founder - Data Analysis, Biomechanics, Algorithm Development, Marketing, Business Plan, Lead at Automate Fitness, a Research and Development Engineer - Design, Motion Simulation, Data Analysis, Sensor Integration at Caterpillar Inc., a Robotics Engineering Intern - Path Planning, Dynamic Simulation, Inverse Kinematics, Robot Design at the National Robotics Engineering Center, a Student Aerospace Engineer - Design Exploration, Requirement Definition, Product Selection at U.S. Army Research Lab, a Graduate Researcher - Design, Analysis, Optimization, Simulation, Probability, Uncertainty at Georgia Institute of Technology, a Space Shuttle Engineering Intern - Reliability Analysis, Failure Statistics, Mathematical Modeling at Boeing, and a Mechanical Engineering Trainee - System Modeling, Mechanical Analysis, Product Testing, Design at Edison International.

Johnson provides strategic thought leadership, mentoring and leading cross-functional teams, writing test driven analytics and machine learning code, and architecting and implementing big data science products on cloud infrastructure utilizing AWS managed services and infrastructure as code. He has a passion for entrepreneurship, rapidly prototyping new products to market, and promoting serverless machine learning leveraging AWS managed services.