About Me
AI Ops Engineer at SolarWinds and an Automation Evangelist.
Background
I'm an AI Ops Engineer at SolarWinds, focused on developer enablement, scalable automation, and responsible AI adoption. Coming from a software, DevOps, and security background, I like building systems that make engineering teams faster, safer, and less dependent on manual process.
When I'm not working, you'll usually find me exploring new tech, running my own home servers, or building small projects just to see what I can learn from them.
If you're interested in chatting, collaborating, or just saying hello, you can get in touch via my contact page.
Experience
AI Ops Engineer
Current SolarWinds June 2026 - Present
- Leading technical strategy for a new AI Ops team focused on enterprise AI enablement, developer productivity, governance, and automation.
- Driving organization-wide AI adoption through platform integrations, internal tooling, usage standards, and developer training.
DevOps Engineer
SolarWinds Oct 2025 - June 2026
- Reduced IT/DevOps overhead and accelerated developer workflows by building an end-to-end self-service platform for access management, repository creation, GCP project provisioning, and other resource requests.
- Reduced manually routed Helpdesk tickets by ~70% with a custom-built triage agent that uses LLMs to understand and route incoming requests to the appropriate teams.
- Increased GitHub Copilot code acceptance from 14% to 31%, daily active users from ~130 to 500+, and license adoption from 62% to 95% through enablement, custom agents, and developer training.
- Drove 90%+ adoption of Claude Code across 300+ developers by rolling it out through AWS Bedrock and supporting developer enablement.
- Reduced annual code signing costs from ~$240K to ~$40K by migrating Authenticode signing to Azure Code Signing and GPG signing to an HSM-backed workflow.
Associate DevOps Engineer
SolarWinds Oct 2024 - Oct 2025
- Increased code scanning coverage by ~400% using GitHub CodeQL.
- Reduced GitHub Actions runner minute spend by ~45% by improving workflow efficiency.
- Achieved SLSA Level 2 compliance across multiple products by automating signed SBOM and provenance generation in CI/CD pipelines.
Skills & Technologies
Automation
AI
Python
Linux
CI/CD
Bash
Networking
Docker
Code Signing
GCP
IAC
Java
Certifications
Education
BS in Computer Science
Texas State University
Aug 2020 - May 2024