Summary
David Maxson is a Machine Learning Software Engineer with 14 years of experience building data-first, production ML systems and developer-friendly platforms. Currently at Waymo after leading data engineering at Rearc, he specializes in converting research prototypes into reliable, high-throughput pipelines and developer tools—cutting pipeline authoring from days to hours and scaling production pipelines 5x. His background at Johns Hopkins APL and government labs blends applied research with engineering rigor, including Rust-accelerated analytics, indexing tens of TBs of biometric data, and compressing multi-week experiments into days. David pairs hands-on coding with technical leadership and mentorship, having led teams, run workshops on serverless LangChain demos, and supported pre-sales technical engagements. Based in Auburn, CA, he brings a pragmatic focus on observability and automation (Sentry, Great Expectations, custom monitoring) that consistently reduces incident toil and drives measurable business outcomes. He’s equally comfortable optimizing ML experiments as he is building low-code infrastructure to accelerate delivery.
15 years of coding experience
10 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Master's degree Computer Science (Machine Learning), Master's degree Computer Science (Machine Learning) at Georgia Institute of Technology
Computer Science, Computer Science at Sierra College
English, Japanese, Latin