Summary
Adam Eubanks is a software engineer intern and research-focused developer who blends cloud and high-performance computing expertise with practical machine learning experience. He has built and taught cloud and HPC workflows at the University of Virginia, producing dozens of tutorials and co-leading workshops that reached hundreds of researchers. His ML work spans TensorFlow, scikit-learn and symbolic regression—contributing to a published experimentally-derived rule for plasma turbidity—and he has interned on ML teams at General Atomics and Neighbor. Adam pairs technical depth with cross-disciplinary finance training through a competitive venture-fund externship, and brings a self-taught, hands-on approach to web and backend development using Python and Flask. Based in Provo, Utah, he balances academic study in computer science and applied mathematics with practical research engineering at IDeA Labs, making him especially adept at translating research needs into reproducible, production-ready tooling.
11 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at University of Virginia
Center for Information Technology, Center for Information Technology at Deep Run High School
Bachelor's degree, Computational and Applied Mathematics, Bachelor's degree, Computational and Applied Mathematics at Brigham Young University
French, Spanish, English