Brad Seiler is a Staff Machine Learning Engineer with 11 years of experience building large-scale, cloud-native systems for fintech and legal-tech, currently focused on ML at Block. He blends deep distributed systems and microservices expertise with hands-on language fluency in Go, Java, Ruby on Rails, Ember.js, C++, and Python, and a track record of re-architecting high-availability backends at Stripe and Square. Brad led Square’s next-generation credit platform and automated PPP approvals that processed over $1B with more than half approved without human intervention. At Robin AI he helped deliver AI-native legal document review that dramatically reduced review time and cost for customers like the University of Cambridge. A Harvard CS alumnus and former Google search engineer, he pairs production-grade engineering with applied ML to move models into resilient, auditable services.
11 years of coding experience
15 years of employment as a software developer
Bachelor of Arts (B.A.) Computer Science, Bachelor of Arts (B.A.) Computer Science at Harvard University
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Brad Seiler - Staff Machine Learning Engineer at Block