Models & access
I combine model routing with infrastructure and access controls so different tools can use the model services they need.
OVERVIEW 02 / AI & AUTOMATION
I use AI to support research, runbooks, monitoring, and software development. My focus is the surrounding system: giving an agent the right tools, controlling what it can do, and checking the result. That includes MCP interfaces, model routing, access controls, and end-to-end QA workflows in my own environment.

THE ENGINEERING SCOPE
Practical capabilities, grounded in professional work and the projects below.
I combine model routing with infrastructure and access controls so different tools can use the model services they need.
I build and integrate workflows that connect AI assistants to structured data, operational knowledge, and defined tools.
I develop controls around an operations agent, with attention to the boundary between interpreting a request and acting on a system.
I use AI alongside code review and end-to-end checks, treating generated changes as engineering work that still needs validation.
PROFESSIONAL EXPERIENCE
The parts of my career most relevant to ai & automation.
APPLIED ENGINEERING
Public repositories and focused overviews of my work. Explore the purpose, implementation, and contribution behind each project.
A blockchain registry service that brings network metadata, endpoint health, REST queries, and MCP tools into one interface.
Flux-based GitOps for my Kubernetes fleet, alongside independent Terraform roots for Docker services.
LiteLLM routing and Cloudflare Zero Trust around the model infrastructure used by my tools and AI workflows.
Self-developed security controls around the Pinax ops-ui agent, focused on the boundary between a request and an operational action.
Agent workflows and QA platforms in my environment, supporting development with code review and behavioral checks.
My current security-center project, alongside work on threat intelligence and static source-analysis platforms.