Summary
Jaimie Murdock is a data scientist and software engineer with 15 years of experience blending machine learning, NLP, human factors, and large-scale data engineering. Holding PhDs in Cognitive Science and Informatics, Jaimie has led migration and modernization efforts—most notably developing arXiv-NG and moving legacy systems to Python and AWS—while supporting digital repositories that serve over 160M monthly downloads. At Sandia National Laboratories and previous roles at Internet Archive and Indiana University, Jaimie has built domain-scale crawlers, analytics pipelines operating on tens of terabytes, and production-ready ML tooling. Skilled at translating complex analytics for non-technical stakeholders, they also have hands-on experience managing teams and pragmatic system design in resource-constrained environments. Based in Albuquerque, Jaimie combines rigorous academic training with practical engineering to deliver reproducible, user-centered data products.
15 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Informatics and Cognitive Science, Doctor of Philosophy (PhD), Informatics and Cognitive Science at Indiana University Bloomington