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AI Cred profile

Shawn McBurnie

Applied AI Engineer

Minneapolis, MN

@shawnmcburnie

AI fluency score

10.0Expert

Assessed Jul 21, 2026 · 2026 rubric

The five skills

Strongest: Verification & Judgment

About

Applied-AI engineer with a published evaluation-methodology portfolio and 20 years of system engineering, now focused on raising the reliability of agentically enabled work for myself and others.

Co-founder and engineer of the Veridi / Pragma / Praxis methodology suite: three methodologies addressing fact checking, fact-based policy suggestions, and identification of personal action opportunities. Veridi runs a 7-stage FastAPI + Anthropic SDK pipeline backed by a ~2,000 line product specification with Murphy-decomposed Brier calibration; in invite-only beta.

Founder of NetterTech, applying the same evaluation-and-governance discipline to construction of a performant commercial WordPress plugin suite gated by well over 10,000 mutation-validated tests; base plugin is free on WP.org: NetterTech Events.

Author of over 80 Claude Code skills with test contracts, with a focused exemplar harness published on GitHub.

In short

Shawn McBurnie is an Applied AI Engineer based in Minneapolis with 20 years of independent system engineering experience, now specializing in agentic reliability and AI governance infrastructure. He demonstrates expert-level AI fluency through the architecture and implementation of production-grade systems: co-founding the Veridi/Pragma/Praxis methodology suite, a 7-stage FastAPI and Anthropic SDK pipeline governed by a ~2,000-line specification with Murphy-decomposed Brier calibration. His engineering discipline extends to a commercial WordPress plugin suite gated by over 10,000 mutation-validated tests and a published library of 80+ Claude Code skills complete with test contracts and a public exemplar harness on GitHub. Shawn brings rigorous evaluation methodology, agentic workflow design, and a force-multiplier mindset to every system he builds — consistently operating at the frontier where tacit AI expertise gets encoded into transferable, reproducible infrastructure that works without him in the room.

Written by AI from Shawn's assessment and profile, Jul 26, 2026.

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