Shawn McBurnie AI Cred Profile

Applied AI engineer with a published evaluation-methodology portfolio and 20 years of independent system engineering, now focused on agentic work.

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-agent FastAPI + Anthropic SDK pipeline, in invite-only beta as of April 2026, backed by a 1,500+ line product specification with Brier calibration.

Founder of NetterTech, applying the same evaluation-and-governance discipline to construction of a commercial WordPress plugin suite gated by 10,000+ automated tests.

Author of 50+ Claude Code skills with test contracts.

Shawn McBurnie is an Applied AI Engineer based in Minneapolis with 20 years of systems engineering experience, now focused on production-grade agentic AI development. An expert-level practitioner, Shawn builds sophisticated multi-agent pipelines — including a 7-agent FastAPI system with Brier-calibrated fact-checking and malicious-prompt defenses — and maintains 50+ custom Claude Code Skills with embedded test contracts. His prompt engineering approach is architectural: he front-loads sourcing constraints, uses prioritization requests as model alignment diagnostics, and applies surgical follow-ups that preserve context rather than restart it. His verification discipline is equally rigorous, combining mutation testing, judge agents, and stakes-calibrated rubrics to distinguish shippable from speculative output. Shawn treats AI assistance as a cognitive reallocation tool — freeing capacity for verification rather than just accelerating delivery. He brings transferable methods, mechanistic mental models, and production-hardened governance discipline to any team serious about moving AI from experiment to infrastructure.

Shawn McBurnie

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