Summary
Camron Godbout is a data analyst and machine learning engineer with 11 years of experience building production ML systems, real-time healthcare risk apps, and scalable web platforms. He has led ML Ops projects that fine-tuned large language models on proprietary transaction datasets using Kubeflow on GCP and built earnings-forecasting and 7-day mortality risk models that influenced operational decision-making. His background spans hands-on full-stack engineering, CTO-level product leadership, and integrating ML into electronic health records and high-traffic sales sites, showing a rare blend of research rigor and production reliability. Based in the Charlotte area, he pairs an MS in Computer Science with a pragmatic approach to deployment and automation, and has repeatedly moved models from prototype to embedded clinical and financial applications. An often-overlooked strength is his cross-domain fluency—finance, healthcare, and energy—enabling him to translate complex data problems into actionable systems.
11 years of coding experience
11 years of employment as a software developer
Bachelors of Science, Computer and Information Systems Security/Information Assurance, Bachelors of Science, Computer and Information Systems Security/Information Assurance at University of South Carolina-Columbia
Masters of Science, Computer Science, Masters of Science, Computer Science at Georgia Institute of Technology