Summary
John Brush is an AI-native product engineer and seasoned architect with three decades of experience designing model-driven, secure, cloud-native systems across finance, industrial infrastructure, and safety-critical domains. He builds pragmatic platforms—spanning Kubernetes, AWS, and enterprise integration stacks—while advancing specification-driven engineering that treats requirements as living operational artifacts. Recently he has focused on agentic workflows and LLM-driven multi-agent delivery, applying rigorous quality gates and intent-first design to automate specification, implementation, testing, and review. As a founder and lead architect he has delivered production AI automation platforms and privacy-first consumer utilities, blending hands-on delivery (iOS, web extensions, Playwright) with enterprise-grade security and OIDC/Cognito deployments. His background in UML/SysML/BPMN and threat-modeling gives him a distinctive edge in translating rigorous formal models into deployable, auditable systems. Based in Zurich, he pairs deep technical breadth with a persistent curiosity about how AI reshapes the software development lifecycle.
11 years of coding experience
12 years of employment as a software developer
English, German