Summary
Joshua Ferguson is a data engineer with 12 years of experience who blends research-grade analytical rigor from a physics PhD with practical cloud data engineering to deliver production-ready ML and analytics solutions. Currently building data pipelines and RAG support for an LLM-based advisor at Insight Partners, he spans ETL, feature engineering, and performance analytics while contributing to feature design. Previously he led reporting and migration efforts in healthcare analytics—managing 200+ SSRS reports, introducing Git-backed workflows, and replacing costly COTS tools with Python solutions that saved his employer >$10k/month. Comfortable presenting to state government clients and mentoring teams, he also has hands-on ML research experience in neural architectures and imaging from his academic work. Columbo-based and GitHub-active, he pairs deep technical curiosity with a track record of turning complex data problems into efficient, auditable systems.
12 years of coding experience
11 years of employment as a software developer
BS, Physics, BS, Physics at Butler University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at The Ohio State University