Brad Seiler

Staff Machine Learning Engineer at Block

New York, New York, United States
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job15 years of employment as a software developer
bookBachelor of Arts (B.A.) Computer Science, Bachelor of Arts (B.A.) Computer Science at Harvard University
bookDalton School
languagesEnglish
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Stackoverflow

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Github Skills (35)

sql-parser10
cockroachdb10
sql10
database10
mysql9
postgresql9
cdktf9
go9
sqlx9
sql-database9
distributed-database9
sql-builder9
cloud-native8
continuous-integration8
aws8

Programming languages (4)

TypeScriptGoRubyPython

Github contributions (5)

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bradseiler/quoridor-ai

Jan 2016 - Feb 2016

Contributions:4 commits, 2 pushes, 2 branches in 18 days
bradseiler/rubocop

Jan 2015 - Jan 2015

Contributions:2 pushes in 1 day
style-guideanalyzercode-analyzerruby
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Brad Seiler - Staff Machine Learning Engineer at Block