Staff Software Engineer | Enterprise Architecture | AI Systems
Building tools for domain discovery, knowledge curation, and multi-agent orchestration.
Demand-Driven Context (DDC) — A methodology for curating domain knowledge for AI agents using agent failure as the discovery signal. Published on arXiv, under review at IEEE.
architecture-catalog — Visual architecture modeling toolkit for enterprise teams. Astro 5, React, ReactFlow.
ddd-archaeology — Reverse-engineer DDD bounded contexts from API contracts, database schemas, transaction logs, and production artifacts. 8 forensic techniques with automation.
agent-ready — Battle-test your AI agent's knowledge base and harness before shipping. Generates stress-test scenarios from 800M+ real-world data points across 8 domains.
claude-code-view — Dashboard for visualizing Claude Code agent activity, costs, and session history.
mono-space — Personal site built with semi-autonomous AI agents.
- AI.Engineer Europe — London, April (DDC Workshop)
- DDD Europe — Antwerp, June 10 (Reverse-Engineering DDD)
- CreateWith — Brighton, June 25
- NDC Oslo — September 18 (Accepted)
- Compass AI Summit — Budapest, October 1-2 (Invited)
Domain-driven design, enterprise architecture, multi-agent systems, context engineering, neuroscience, mental health technology





