Machine Learning Engineer at Toyota Connected North America
United States
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Summary
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Senior
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Top School
Stuart Miller is a Machine Learning Engineer with eight years of experience blending physics-rooted analytical thinking and pragmatic software engineering to solve high-dimensional manufacturing and production-test problems. He has delivered ML models and end-to-end tooling—deploying models on Kubernetes and AWS at State Farm and building DevOps pipelines and test automation at Texas Instruments—to improve yield, reduce test time, and eliminate critical bugs. At Toyota Connected he applies those skills to cross-functional teams, turning large datasets from manufactured products into actionable anomaly detection and root-cause insights. Stuart is finishing an MS in Data Science at SMU (4.0) and maintains a hands-on portfolio that showcases reproducible analyses and deployable code, reflecting his emphasis on portable, extensible software. Known for reducing cycle time through practical ML (e.g., kNN tuning and regression-driven test removal) and for creating shared code libraries, he combines strong communication with a continuous-learning mindset.
8 years of coding experience
9 years of employment as a software developer
Data Analyst Nanodegree, Data Science, Data Analyst Nanodegree, Data Science at Udacity
Master's degree, Data Science, 4.00, Master's degree, Data Science, 4.00 at Southern Methodist University
Bachelor’s Degree, Engineering Physics, Magna Cum Laude, Bachelor’s Degree, Engineering Physics, Magna Cum Laude at LeTourneau University
Project using multiple linear regression to model prices of houses in Ames, IA.
Contributions:107 commits, 17 pushes, 2 branches in 7 months
regressionldapriceslinear-regressionlinear
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