Summary
Brian Coe is a Principal Engineer specializing in AI/ML with a decade of experience building decision-making architectures, agent-based models, and reinforcement learning systems for mission-critical and enterprise domains. He has delivered high-throughput data pipelines and MLOps platforms—scaling textual ingest to 100M+ documents/hour and integrating MLflow, Kubernetes/Docker, and SageMaker for production-grade model serving and drift detection. Brian has a strong record in identity and behavioral pipelines for federal clients, cutting false positives by ~90% and matching over 1M identity records per day to reduce litigation risk and operational costs. His work blends MBSE-driven digital twins and geographic spatial intelligence with novel feature engineering (analytic geometry/curvature) to turn fragmented data into unified, actionable insights that improved asset management ROI by an order of magnitude. Equally comfortable in cloud and on-prem Spark environments, he combines research-level methods with pragmatic engineering to ship reliable systems at scale. Based in Front Royal, VA, he pairs a multidisciplinary academic background with hands-on AI engineering research and a knack for translating complex models into operational impact.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.92, Bachelor of Science - BS, Computer Science, 3.92 at University of the People
Materials Science Engineering, Materials Science Engineering at Drexel University
UMBC
English, Spanish, French, German, Swedish