Senior Enterprise Data Engineer. Clinical lab roots. Building agentic systems that close the gap between the people who use data and the people who build the infrastructure behind it.
Enterprise data infrastructure for computational science and clinical analytics on GCP. Pipelines connecting scientific computing to business decisions in GxP-regulated environments.
Business-critical system modeling and DevSecOps for federal energy infrastructure. Problem framing between technical teams and agency leadership.
Clinical laboratory operations across emergency medicine, microbiology, and molecular diagnostics. CLIA/CAP regulated environments.
Tactical data and communication systems supporting mission-critical operations. Where the principle took root: information only creates impact when it reaches the right person at the right time.
Data engineer with a clinical science background. I build enterprise data infrastructure and agentic systems — closing the gap between the people who use data and the systems behind it.
M.S. in Data Analytics, AI/ML. Background spans military service, clinical laboratories, federal infrastructure, and computational science.
AI systems, enterprise data engineering, and creative technology. More specimens loading from archive.
Enterprise data infrastructure for computational science and clinical analytics. Pipelines connecting research outputs to decision-making at scale.
Autonomous agent architectures with memory, tool use, and integrated development pipelines.
Interested in AI systems, clinical research, and collaborations that cross boundaries.