Summary
Paul Hubbard is a Principal Engineer based in San Diego with 13+ years of experience building production-scale AI/ML and distributed systems, currently leading Intuit's Virtual Expert Platform. He blends deep systems and data engineering roots—from high-performance scientific and grid computing to cloud-native services—with hands-on ML deployment, mobile native inference, and AI safety work. Paul has repeatedly led cross-functional teams to ship document classification, OCR, and large-scale inference pipelines while navigating compliance, privacy, and production reliability. He favors hard problems that require learning new domains and contributes side projects and open-source work on GitHub that reflect a pragmatic, research-informed approach. Notably, his career spans national labs and enterprise engineering, giving him a rare mix of low-level performance experience and modern ML-in-production expertise.
13 years of coding experience
21 years of employment as a software developer
MSEE Computer Engineering, MSEE Computer Engineering at The University of New Mexico
English