What I do
I'm a Systems Engineer at the University of Dayton, supporting an environment of more than 1,400 Linux and Windows hosts. I contribute to the Ansible and Terraform automation, delivered through GitLab CI/CD, that deploys, updates, and configures our 400+ Linux servers, and I built the self-hosted, GPU-accelerated AI node behind our AI-assisted development. Before that, I spent three years delivering IT for external clients and several more running operations for a small business.
Highlights
- client delivery
- Three years of external client work: a managed service provider serving higher education, finance, non-profit, medical, and manufacturing clients, plus two years running my own IT services business.
- automation
- Contributor to the Ansible and Terraform automation, delivered through GitLab CI/CD, that manages 400+ Linux hosts, supported by Python, Bash, and PowerShell.
- migration
- Moved a production application onto Linux and Docker with zero downtime and zero data loss, reusing existing hardware to avoid new spend.
- AI engineering
- Designed and deployed a GPU-accelerated inference node, integrated with OpenCode, that keeps prompts and code on University infrastructure.
- process
- A career-long habit of codifying how work gets done, from Kanban-driven continuous improvement to routing standards that cut misrouted support tickets by about 85%.
- business
- Operations Management degree, P&L analysis, strategy work with business owners, and recommendations presented to Fortune 500 executive leadership.
What I'm looking for
A solutions architecture, platform engineering, or DevOps role with a consulting or managed services firm, and I'm open to remote work. I want to design and run platforms for clients, own the outcome, and leave every environment more automated and better documented than I found it. I do my best work where a technical problem is tangled up with a business one, because I've spent my career on both sides of that line.