Summary
James Vance is a Senior Machine Learning Engineer with a decade of experience focused on MLOps and productionizing ML across domains including agents, recommenders, and computer vision. Based in Virginia Beach, he has progressed through roles at Marriott and Alion into his current position at Amazon, where he drives scalable model deployment and monitoring. He blends hands-on engineering—building TensorFlow classifiers, FastAPI dashboards, Spark/Hadoop pipelines, and Postgres-backed platforms—with operational rigor around alerts, indexing, and automated backups. James has led teams to deliver anomaly detection and issue-resolution systems for complex, real-time environments such as Navy training events, demonstrating an ability to translate messy telemetry into actionable models. Comfortable with both research-driven solutions and practical engineering tradeoffs, he often bridges data science and software engineering to deliver reliable, observable ML systems. His background in systems engineering and English gives him a rare combination of technical architecture mindset and clear, persuasive communication.
10 years of coding experience
10 years of employment as a software developer
BA English English, BA English English at University of Kentucky
Master's Degree Systems Engineering, Master's Degree Systems Engineering at University of Virginia