Christian · Veteran · Family Man · Backend Dev
I build payment integrations and event-driven services in TypeScript, Go, and AWS. My work connects enterprise systems, makes retries and idempotency explicit, and turns complex product requirements into maintainable software.
$5M
New income unlocked
Third-party vendor payment integration, projected to also save $3M over four years
3,400%
Faster processing
Commitment and payment upsert redesign, Compassion International
6M+
Records, idempotent
Event-driven AWS Lambda / SNS / SQS payment pipeline
Selected work
Featured case study
A training PWA that keeps prescriptions deterministic, validates AI exercise selections, and saves complete programs through a single database transaction.
Fitness tech, deterministic rules, PWA, AI boundaries
Ongoing practice
A personal operating system for AI-assisted engineering: durable skills, repo backups, task verification, and agent orchestration patterns.
Human-in-the-loop AI, verification, knowledge management
Living portfolio
A personal resume and project record built on cut geometry, a high-vis blaze accent, and copy that gets to the point.
Design systems, content strategy, frontend craft
Rules of the line
The best systems help real people do meaningful work with less friction.
Readable code, obvious boundaries, and honest docs are force multipliers.
A focused tool that does the right thing beats a flashy tool that does too much.
AI, product craft, training data, and better developer workflows are all on the bench.
Resume signal
Experience
Lead development of enterprise payment processing systems integrating NetSuite ERP with AWS infrastructure, supporting millions of financial transactions annually.
Service
United States Coast Guard veteran with a service-shaped bias toward reliability, ownership, and calm execution under constraints.
Education
Master of Science in Software Engineering, Concentration in Artificial Intelligence (In Progress), Grand Valley State University.
Skills
Languages: TypeScript, JavaScript, Go, Node.js, SQL.
Experiments, tool notes, AI workflows, and small interactive ideas live in the garage; the bench where things get taken apart.
Into the garage