John WalpoleAI systems engineering & reliability

Experience explorer

Reliability and AI systems experience, organized for evidence-first review.

Explore work through projects, architecture notes, reliability scenarios, and writing that show how decisions are framed for different technical audiences.

Corpus Design Principles for AI Systems

Many AI discussions focus on model selection, prompting techniques, vector databases, and agent frameworks.

Type
Architecture
Last updated
2026-06-06
ai-systemsragknowledge-managementretrievalgovernance

Operational Intelligence Platform

Engineering and operations teams often lose time searching across scattered knowledge sources when troubleshooting systems, reviewing changes, responding to incidents, or answering operational questions.

Type
Project
Last updated
2026-06-04
ai-systemsragretrievalobservabilitysre

reviewable

Operational maturity

Use reliability scenarios and operating practices to show diagnosis, communication, mitigation, and follow-up discipline.

reviewable

AI systems engineering

Explain retrieval, provider abstraction, prompt design, evaluation, and governance practices.

expanding

Cross-functional communication

Highlight executive summaries, engineering tradeoffs, and stakeholder-safe explanations.