AI ENGINEERING / PRODUCT SYSTEMS / CHICAGO
Intelligent
Systems.
AI engineer focused on turning models into reliable products—not demos. Clean architecture, observable pipelines, useful interfaces, measurable outcomes.
Currently exploring
Production AI · RAG · Agents · Product validation
Selected work
Systems with a reason to exist.
Market Intelligence / AI
ORB8
An evidence-driven validation platform that turns fragmented market signals into structured findings, confidence, and an actionable plan.
Product / Applied AI
Mettavia
A structured school of mind training designed around progressive learning rather than an endless library of passive meditation content.
Architecture / Engineering
AI Pipelines
Production-grade AI applications built as explicit, observable pipelines: retrieval, model invocation, validation, evaluation, and orchestration.
Venture Studio / Systems
Protolithic
A product studio for testing, building, and operating software ventures with a disciplined validation-first approach.
About / 05
Software engineering first. AI where it earns its place.
I design AI applications as understandable software systems: explicit stages, strong interfaces, replaceable components, observability, and tests. Frameworks are useful until they hide the architecture.
My work sits between engineering and product—building the system, interrogating the assumptions behind it, and making sure the result solves a problem someone actually has.
01
AI Architecture
02
Python / TypeScript
03
RAG + Agents
04
Product Engineering
“The model is one component. The product is the system around it.”