About
About.
I'm a software engineer who builds applied-AI products and uses agentic tooling to build them. I'm cofounder and CTO of Ledger App, Inc., a civic-tech startup whose AI assistant, Vera, answers questions about politics with a citation behind every claim; alongside it I build LLM-powered and agentic tooling end to end. The engineering rigor under all of it comes from mission-critical test-infrastructure work at Boeing.
I came up through computer science at Kent State, then moved into systems and software engineering at Boeing. The through-line is the one that drew me to the field in the first place: take difficult, high-stakes systems seriously, and make careful technical decisions under real constraints. That instinct is exactly what applied AI demands: autonomy is earned, provenance is a requirement, and the interesting work lives where architecture, ownership, and judgment all matter at once.
Outside of Boeing, I spend most of my time building. My projects cluster around the same themes (truthful systems, strong tooling, and products that solve a specific problem end to end), built with frontier models, not just opinions about them.
Current focus
Most of my work right now sits at the intersection of applied AI and software engineering. The day-to-day looks like building agentic workflows, shipping LLM-powered features, and helping organizations adopt frontier tools without getting burned by them.
- Applied AI and LLM-powered products.
- Agentic engineering workflows: custom skills, MCP servers, RAG pipelines, tool-using agents.
- Frontier model patterns and how they change what's worth building.
- High-leverage systems where small, careful moves compound.
How I work
-
Systems thinking
I'd rather understand a system deeply and make one high-leverage move than churn at the surface.
-
Deep ownership
Stay with the work through the messy middle: design, build, ship, support, and the conversations that hold it all together.
-
Practical experimentation
Hands on the tools, not just opinions about them. Claim less, demonstrate more.
-
Architectural discipline
Preserve what matters, change what's brittle: the legacy instrumentation overhaul at Boeing integrated new hardware while keeping the behavior the system depends on.
Outside the work
Outside of work, I'm usually building side projects, cooking dinner, following Pittsburgh and Cleveland sports, or spending time in Ohio with my wife Sarah and our golden retriever Milo.
Where I'm headed
I'm looking for the next chapter of work where applied AI and product engineering meet under real constraints.
- AI-native companies building frontier-model-shaped products.
- Frontier-model applications across product and tooling.
- Software roles where AI fluency is an edge, not a separate job title.