Bryan Whiting
Senior Machine Learning Engineer at Stealth Mode
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolBryan Whiting is a Senior Machine Learning Engineer in San Francisco with a decade of experience building end-to-end ML systems that move from raw data to production. He has modernized large-scale forecasting platforms—rebuilding a 4-year-old 150k-SLOC system into a compact, more accurate implementation—and operates at the intersection of data engineering, model selection, monitoring, and deployment. Bryan has led teams and startups, founding an AI-first marketing firm that produced thousands of campaigns and proprietary tooling, and has shipped ML and recommendation work at companies including Google, YouTube, Hopper, and Capital One. Comfortable across Python, R, Spark, SQL and cloud platforms, he pairs rigorous statistical modeling with practical automation (e.g., Kubeflow-backed monitoring for 40k time series). He’s equally at home developing command-line tools and dashboards as he is shaping product-facing ML features, and maintains a public GitHub and blog demonstrating his hands-on, production-focused approach.
10 years of coding experience
8 years of employment as a software developer
Master's Degree, Statistics, Master's Degree, Statistics at Brigham Young University
Spanish
Github Skills (185)
cms10
hugo10
dataflow10
python10
metadata10
automation10
infrastructure10
tabular10
forecast10
pipeline10
object-detection10
computer-vision10
transfer-learning10
multiclass-classification10
content-management-system10
Programming languages (8)
Github contributions (5)
bryanwhiting/bayesian_hierarchical_model
May 2016 - Sep 2019
Hierarchical model to estimate average revenues by tee times
Contributions:6 commits, 5 pushes, 1 branch in 3 years 5 months
pythonteetimeshierarchical-modelhierarchical
bryanwhiting/blog_deprecated
Jun 2017 - Sep 2021
My take on data, productivity, innovation, and life
Contributions:61 pushes, 1 branch in 4 years 3 months
innovationlifeproductivity
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