Gordon Macmillan
Data Scientist
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolGordon Macmillan is a data scientist in Boulder, Colorado with nine years of experience blending full-stack development, machine learning, and engineering rigor to move models from research into production. At Verizon he has driven model reliability and observability—building SageMaker pipeline features, centralized metrics, and test suites—while leading CI/CD migrations to Kubernetes-based workflows. His background as a mechanical design engineer gives him a systems-minded approach to data pipelines and model tuning, informed by hands-on hardware integration and manufacturing optimization. Comfortable pairing and mentoring across remote teams, he focuses on practical deployments that deliver measurable customer value. An alum of Galvanize’s Data Science fellowship and CU Boulder engineering, he often surfaces non-obvious failure modes through targeted integration tests and metric-driven diagnostics.
9 years of coding experience
13 years of employment as a software developer
BS, Mechanical Engineering, BS, Mechanical Engineering at University of Colorado at BoulderFellow, Data Science, Fellow, Data Science at Galvanize IncBlacksburg High School
Stackoverflow
123reputation
19kreached
7answers
4questions
Github Skills (107)
notebook10
athletes10
snap10
jupyter10
google-kubernetes-engine10
minikube10
autoencoder9
capstone9
kubeflow-pipelines9
nlp9
computer-vision9
strava9
kubeflow9
kedro9
machine-learning9
Programming languages (9)
Github contributions (5)
GdMacmillan/GdMacmillan.github.io
Sep 2017 - Feb 2020
Contributions:45 commits, 49 pushes, 2 branches in 2 years 5 months
GdMacmillan/kaggle-protein-classification
Oct 2018 - Jan 2019
Human Protein Atlas Image Classification - Classify subcellular protein patterns in human cells
Contributions:111 commits, 10 PRs, 10 pushes in 3 months
tsneautoencodermachine-learningatlaspatterns
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