Summary
Eric Miller is a Machine Learning Engineer with eight years of multidisciplinary experience applying ML, time series, and NLP techniques to defense and manufacturing problems at the Naval Surface Warfare Center. He holds a Master’s in Computer Science (AI) and dual undergraduate degrees in Mechanical Engineering and Computer Science from Case Western Reserve, graduating with a 4.0 GPA. At NSWCCD he built an in-house Python ML/statistics framework that automates feature selection and model training, added time-series and NLP modules, and delivered predictive models (XGBoost, LSTM) for ship shock damage and additive manufacturing. Eric regularly consults with teams across the command, teaches introductory data science/Python to peers, and evaluates contractor AI deliverables—bringing both hands-on implementation and program-level oversight. Notably, his background spans from low-level simulation support (Fortran fluid solvers) to hierarchical reinforcement learning research, reflecting an ability to bridge academic methods and large-scale engineering applications.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mechanical Engineering (BS), Computer Science (BA), 4.0/4.0, Bachelor's degree, Mechanical Engineering (BS), Computer Science (BA), 4.0/4.0 at Case Western Reserve University
Council Rock High School North