Applied Work · Systems Thinking
From research question to testable capability.
I focus on the systems, environments, and experiments that help distinguish a plausible idea from something people can actually use under stress.
Project MESH
Through WeanTech, I am developing a small research demonstrator for secure, infrastructure-independent local communications. The aim is to test a practical field question: can a small team deploy a useful communications capability quickly, without relying on commercial Internet, cellular service, or cloud infrastructure?
Flaghoist Lab
My primary proving ground is a segmented home-lab environment used to explore network boundaries, local services, observability, and failure conditions. It is a learning and testing environment — not a substitute for field validation.
WGU Academic Showcase
Thirty-six courses across three WGU degrees — B.S. and M.S. in Cybersecurity & Information Assurance, and an M.S. in Computer Science (AI/ML), now one course from completion. Each entry shows the project abstract, topics, skills, and deliverables; complete coursework is intentionally not published, in keeping with WGU academic integrity standards.
Evidence before claims.
I use a simple pattern: define the operating conditions, build the smallest honest prototype, test the limits, and document what the results support. AI is considered only where it improves a specific task while remaining bounded, auditable, and replaceable by a non-AI fallback.