About
Senior Principal Software Engineer at Johnson & Johnson, where he leads data engineering, data science, and software development teams building generative AI products. San José State University graduate, with prior data engineering roles across Facebook contractor teams. His current work involves shipping LLM-powered systems at enterprise scale. He writes about how AI flashcard generation actually works under the hood, and where machine learning genuinely improves spaced repetition versus where simpler rule-based scheduling still wins.
Currently at
Johnson & Johnson
Senior Principal Software Engineer
Education
San José State University
Joined
May 2026
as contributor
Areas of expertise
Generative AIMachine learningData engineeringSpaced repetition algorithms