Summary
Zachary Levonian is a Senior Machine Learning Engineer and PhD-trained data scientist with 11+ years building ML-powered systems across research and production, from R&D prototypes to clinical-trial optimization and education technology. He blends human-computer interaction research and NLP expertise with pragmatic engineering—deploying LightGBM and Spark pipelines at scale, implementing retrieval-augmented generation packages, and overhauling observability tooling in production. His work bridges qualitative methods (annotation design, interviews, surveys) and deep learning, yielding 8 peer-reviewed HCI publications and open-source statistical code from his doctoral research. Comfortable across Python, Java, R, and JavaScript, he pairs rigorous academic thinking with hands-on refactors and testing (he personally touched >21k lines in a legacy codebase) to reduce operational friction and speed outcomes. Based in Tacoma, he has a track record of translating multidisciplinary collaboration (Amazon, CaringBridge, Wikimedia-related projects) into measurable user and system impact.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Minnesota
Computer Science Computer Science, Computer Science Computer Science at Carleton College