I'm a cloud and AI/ML engineer working in AWS and Azure — building infrastructure that's thoughtfully designed, cost-controlled, and stress-tested. B.S. Cloud Computing, M.S. AI/ML, 15 certifications, live multi-cloud at $17/mo.
I'm a cloud and AI/ML engineer based at Langley AFB, finishing active service with the U.S. Air Force in December 2026. While serving full-time, I completed a B.S. in Cloud Computing in under a year, followed it with an M.S. in AI and Machine Learning, earned 15 industry certifications across AWS, Microsoft Azure, and CompTIA, and architected a live multi-cloud infrastructure running on $17 a month.
Day-to-day, I run reporting and automation for a 300-person organization — Power BI dashboards for senior leadership, Power Automate workflows that replaced manual processes, and asset management across 150+ devices. I build from problem identification to production.
My focus now is the infrastructure side of machine learning: model serving, GPU workloads, and the deployment and monitoring layer that decides whether a model survives contact with production. Looking for high-impact cloud and AI/ML roles where I can grow fast and build real things.
The problem. A logistics company running inventory and shipping on aging on-prem infrastructure. Maintenance costs, no headroom for traffic spikes, no disaster-recovery story.
The solution. Full multi-cloud lift-and-shift. AWS handles compute (EC2 behind an ALB, managed by an Auto Scaling Group). RDS MySQL in private subnets across two AZs. Azure provides centralized identity through Entra ID and cross-cloud monitoring via Azure Monitor.
The outcome. Validated through live stress testing. Alarms triggered on threshold breach. ASG scaled out under load. ALB rerouted around stopped instances. Zero service interruptions.
Pursuing high-impact cloud and AI/ML engineering roles. Happy to chat now — full availability December 2026.