Bryan Johnson

Staff Machine Learning Engineer at Guidewire Software

Omaha, Nebraska, United States
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Summary

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Senior
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Bryan Johnson is a Staff Machine Learning Engineer with nine years of experience building production-grade ML systems that bridge statistical learning and large-scale engineering. He has delivered high-impact solutions across finance, advertising, and HR—reducing ETL times from days to hours, detecting accounting and fraud anomalies in production, and powering a terabyte-scale identity graph that drove significant ad revenue. At Workday he led agentic AI and evaluation frameworks for autonomous workflows and shipped generative tools that accelerated developer productivity; he now continues that trajectory at Guidewire. Bryan’s background in mathematics underpins a careful, numerics-first approach to model development and distributed computation. He combines hands-on systems optimization (multi-threaded C# apps, Spark/Hive pipelines, real-time streaming stats) with a deep interest in numerical computing, making him adept at turning complex data problems into reliable, auditable systems.
code9 years of coding experience
job16 years of employment as a software developer
bookMaster's Degree Mathematics, Master's Degree Mathematics at University of Nebraska at Omaha
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651reputation
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5answers
0questions
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Github Skills (19)

stream9
game-development8
game-engine7
batch6
parquet6
open-source6
sbt6
python6
scala6
intellij-idea6
apache-spark6
hadoop6
godot4
visualization4
luigi4

Programming languages (3)

JavaC++Python

Github contributions (5)

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bryanpjohnson/sdgmethod

Nov 2016 - Oct 2020

Java implementation of the Stochastic Discontinuous Galerkin Method for approximating the solution to ordinary stochastic differential equations.
Contributions:1 PR, 15 pushes, 1 branch in 3 years 11 months
equationsstochastic-differential-equationsssreflectdynamical-systemsmethod
Contributions:4 commits, 2 pushes, 1 branch in 1 year 4 months
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Bryan Johnson - Staff Machine Learning Engineer at Guidewire Software