Open to opportunities
Sean Traynor
AI Systems Architect
I design and ship agentic AI systems — orchestration frameworks, multi-repo knowledge substrates, and production pipelines that operate reliably at scale. Seven years building across the full stack; last two years focused exclusively on applied AI infrastructure.
Current focus
- 01 Agentic orchestration at OS scale — multi-agent session management, verifier/executor patterns, and self-healing wiki distillation across 9 interconnected repos.
- 02 Applied AI for high-stakes domains — production pipelines for music, trading, and enterprise content — where correctness and auditability matter as much as velocity.
- 03 Targeting senior AI roles — open to AI Engineering, AI Operations, and Solutions Architecture positions at frontier-AI companies (Anthropic, W&B, Scale AI, Harvey AI, Cognition AI).
Selected work
Case Study
Master OS
7-domain agentic operating system: Phase 6 orchestration, ticket executor FSM, pre-merge-gate hooks, and daily wiki distillation. 241 tests, A 19/19.
Read case study → Essay
Agentic Orchestration Patterns
Five design patterns from building a production multi-agent OS: hooks as trust boundaries, agent contracts, hybrid orchestration, and distillation as compounding memory.
Read essay →Interested in working together or want to discuss AI systems?