Colby Ham
Machine Learning Engineer at State Farm
Richland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolColby Ham is a machine learning engineer with 11 years of technical experience and seven years focused on predictive analytics, combining rigorous software engineering discipline with applied data science across healthcare and epidemiology. He has led projects from proof-of-concept to production—building ETL pipelines, streaming/batch systems, knowledge-graph harmonization, and automated phenotyping for EHRs—while forecasting diseases like HPAI and supporting VA-DOE scale studies. A collaborative contributor at PNNL and now State Farm, Colby excels at delivering cross-functional solutions on time and under budget and believes production-ready code is essential to analytical success. He brings uncommon breadth for an ML engineer: hands-on systems work (porting legacy analytics, CI/CD, real-time integration) paired with clinical-facing modeling and a track record of deploying models that drive decisions. Based in Richland, WA, he blends research-rooted curiosity with pragmatic, deployable ML systems.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Oregon State University
Github Skills (103)
python10
bash10
nonlinear-dynamics10
oh-my-zsh10
sdk10
control-systems10
differentiable-programming10
shell10
spice10
cli10
rails10
model-predictive-control10
physics10
predictive10
nonlinear-optimization10
Programming languages (8)
Github contributions (5)
pnnl/SLiCE
Mar 2021 - Nov 2021
Contributions:101 commits, 52 pushes, 5 comments in 7 months
stanford-pnnl/covid-nlp
Jul 2020 - Sep 2022
Contributions:3 PRs, 74 pushes, 1 branch in 2 years 2 months
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