Healthcare · AI · Civic Leadership · Peoria, IL
I build things that have to work.
Ten years in clinical work. AI infrastructure after hours. Sometimes a stage.
Trainer, builder, maker — I work where systems meet real people and failure has consequences. This is what I've shipped.
Background
How I work
Ten-plus years in healthcare: ICU clinical work, clinical informatics, and five years training providers on Epic. I build the layer between an AI model and a real clinical workflow — designed to assume failure, surface uncertainty, and keep a human in the loop. The hard part was never capability; it's judgment, auditability, and shipping something that survives real use.
- Clinical workflow & informatics01
- Healthcare AI integration02
- Retrieval & RAG systems03
- Agent orchestration04
- AI governance & arbitration05
- Security-aware implementation06
Credentials
Certified where it counts
- ›CCMA (NHA)
- ›BLS / CPR / AED (American Heart Association)
- ›Principal Trainer — Inpatient ClinDoc
- ›Certified — Inpatient Orders
- ›Credentialed Trainer — Ambulatory, ASAP, Radiant, Stork OB, Surgeon
- ›Google Cybersecurity Professional Certificate
- ›Google IT Support Professional Certificate
- ›At-Large Member — City of Peoria Advisory Committee on Police & Community Relations (2nd term)
- ›Peoria County Civic Leadership Academy (2025)
- A.S., Business Administration — AI · Generations Collegein progress · expected Dec 2027
- Medical Assistant with Limited X-Ray · Fortis Institutegraduated with honors
- Emergency Medical Technician (EMT-B) · Illinois Central College2017 · certification inactive
Selected work
Things I've shipped
Retrieval-Augmented Enterprise Knowledge Agent
Workflow-aware internal agent with source grounding, confidence surfacing, and graceful failure
lookup: up to an hour → under a minute · adopted into daily clinical use
AI Integration Pack
Reusable Python infrastructure for the layer between model and system
CAM-PROTOCOL
Open technical work on AI routing, governance, and arbitration
SubstrateOS
Browser-native Linux playground for agent and tooling experiments
Future_AI
Governed multi-agent runtime where the harness, not the model, is the product
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