Garrett Mooney
Team Lead, Machine Learning Engineer at AllCloud
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolGarrett Mooney is a pragmatic machine learning engineer and team lead with nine years of experience building simple, scalable model-driven systems and mentoring cross-functional teams. Trained in econometrics, he blends rigorous probabilistic thinking and Bayesian methods with hands-on engineering—fluent in Python and R and comfortable with PyTorch, JAX, Polars, FastAPI, Docker, and cloud orchestration. He gravitates toward unblocking others: speeding up code, improving design and workflows, and balancing cost/UX tradeoffs for production ML services. A former freelancer, he brings broad domain exposure—from healthcare research to retail and media forecasting—which honed his preference for reliable baselines over flashy prototypes. At Nielsen he led development of probabilistic neural models and app tooling for TV-performance prediction while navigating platform constraints and latency/cost challenges. Based in Pittsburgh, he’s actively seeking engineering roles where he can operationalize probabilistic and causal solutions and help teams move faster.
9 years of coding experience
9 years of employment as a software developer
Master of Arts (MA) Economics, Master of Arts (MA) Economics at Western Illinois UniversityBachelor of Science (BS) Economics, Bachelor of Science (BS) Economics at Bradley University
Stackoverflow
184reputation
23kreached
5answers
0questions
Github Skills (97)
r9
pipeline9
kubeflow-pipelines9
wolfram-language8
sampling8
quantitative8
kedro8
kubeflow8
tekton8
keras8
tidymodels8
machine-learning8
functional-programming8
chainer8
discourse8
Programming languages (9)
Github contributions (5)
GarrettMooney/garrettmooney.github.io
Oct 2019 - Nov 2023
Contributions:2 pushes, 3 branches in 4 years 1 month
GarrettMooney/notes
Nov 2019 - Sep 2020
Contributions:115 pushes, 13 branches in 9 months
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