Paul Selden is a Staff Software Engineer and seasoned technical leader with over a decade of experience building high-performance, cloud-native systems and production ML platforms. He has led teams at Dropbox and Google and previously scaled OpenX’s ML infrastructure to serve millions of predictions per second, driving CI/CD, Kubernetes migrations, and measurable operational improvements. Comfortable across the full stack, Paul blends architecture, hands-on coding, and people management to turn ambiguous problems into reliable, scalable products. He holds CS degrees from UCLA and the University of Michigan and has a track record of boosting deployment frequency, reducing costs, and mentoring engineers while shipping complex distributed systems. An unspoken strength is his ability to found and grow teams quickly—having built a new GCP-focused team inside Google from scratch—and shepherd them from prototype to production.
12 years of coding experience
15 years of employment as a software developer
2 BS, Computer Science, Economics, 2 BS, Computer Science, Economics at University of Michigan
MS, Computer Science, Artificial Intelligence, MS, Computer Science, Artificial Intelligence at University of California, Los Angeles
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