Summary
Michael Johnson is an AI software engineer with nine years of experience building and operationalizing machine learning systems across startups and enterprise teams. He has moved between product-focused roles and ML infrastructure positions at companies like Atlassian, NVIDIA, Favor Delivery, and now Gametime, giving him a practical grasp of production ML pipelines, voice/customer insights, and performance-sensitive systems. Michael’s background in computer science with a math minor from Texas A&M underpins a pragmatic approach to modeling and system design that balances accuracy with reliability and scalability. He’s comfortable translating research into production, having advanced from software engineering at HotSchedules to senior ML systems roles that bridge data science and platform engineering. Based in Aurora, Colorado, he brings a track record of improving ML delivery velocity and operational robustness in fast-moving product environments.
9 years of coding experience
10 years of employment as a software developer
BS, Computer Science, Minor in Mathematics, BS, Computer Science, Minor in Mathematics at Texas A&M University