Branden Steele
Senior Machine Learning Engineer at Workday
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolBranden Steele is a Principal Machine Learning Engineer with a decade of experience building production-grade GenAI, agentic, and human-in-the-loop systems that drive measurable business outcomes across fintech, HCM, and the sciences. He has led end-to-end ML work—from R&D and ETL to novel LLM training, feedback loops, and large-scale deployments—while platformizing inference and training frameworks used org-wide. At Modern Treasury he collapsed complex FinOps workflows into single-prompt agents, and at Workday he shipped LLM-powered products like Job Description Generation and an audit agent that automates detailed payroll reviews. His background in statistics and applied mathematics (including PhD-level research) informs rigorous evaluation pipelines and robust modeling choices. Based in Boulder, he combines hands-on engineering, product intuition, and team leadership to translate ambitious goals into high-performance, market-defining solutions.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at University of WashingtonHigh School, High School at Eagle Valley High SchoolMaster of Science (M.S.) Applied Mathematics, Master of Science (M.S.) Applied Mathematics at University of Colorado Boulder
Spanish, English
Github Skills (17)
statistics9
affinity8
chatbot5
computational-biology5
prediction5
transcriptomics5
databricks5
variants5
bioinformatics4
sequence4
gpt3
simulation3
inference2
generative2
pytorch1
Programming languages (3)
Github contributions (5)
matsengrp/transport
May 2019 - Feb 2021
Contributions:255 commits in 1 year 9 months
matsengrp/sumrep
Jul 2017 - Nov 2019
Summary statistics for repertoires
Contributions:581 commits, 1 PR, 316 pushes in 2 years 4 months
statisticssummary-statistics
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