Production AI, search, and backend systems built with an operator's discipline.
I work with teams that need real systems, not demo theater: retrieval, routing, observability, performance, and delivery that holds up after launch.
- Production AI: multi-provider routing, budget controls, eval loops, and quality guardrails
- Search and RAG: pgvector pipelines, citations, re-ranking, ingestion, and freshness
- Backend systems: low-latency services in Rust and .NET with strong logs, traces, and metrics
- 22+ launches across federal modernization, enterprise platforms, and product-led SaaS
- Proven outcomes: 60% lower latency and 30% lower model spend on LLM routing engagements
- 20+ years building software in regulated, distributed, and high-change environments
- Creator of MockForge, an open-source API mocking platform with AI-powered features
- MockForge: API mocking with AI-assisted data generation and multi-protocol support
- Multi-provider LLM routing: lower latency, tighter cost control, better observability
- Cloud-agnostic CQRS framework: improved delivery speed across distributed teams
- RAG on Azure + pgvector: retrieval systems with stronger accuracy and traceability
- Production AI tooling stack and why
- What good automation looks like before we start
- My AI delivery principles
- Email: [email protected]
- LinkedIn: linkedin.com/in/raymondclanan
- GitHub: github.com/rclanan
Open to remote consulting and contract work for production AI, search, platform, and backend engineering.