Professional Overview
Senior cloud infrastructure engineer, 8+ years on regulated, mission-critical AWS, Azure, and GCP platforms, today governing a ~5 PB federal health data estate, 50+ cloud accounts, ~12 production AKS and EKS clusters at 99.9% uptime, and a 350+ user Databricks/MLflow platform at the CDC under active T2 Public Trust clearance.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
