Cygnus Engineering · Riley Moynihan
Production-ready AI and data systems that work under real-world conditions.
Whether you're turning loose ideas into working prototypes or scaling a POC to handle real traffic—I help you figure out what's actually possible, build it to last, and get it into production.
Riley Moynihan
What I do
- Data engineering: pipelines with contracts, quality gates, and lineage—so your AI doesn't hallucinate from garbage data, and your team can trace errors back to their source.
- AI retrieval (RAG/IR): systems that find the right documents, resist prompt injection, and stay fast under load—not just on your test set.
- Agents & autonomy: systems that call APIs reliably, fail gracefully when confused, and give you the visibility to debug them when they don't.
Data Engineering
Dependable data flows
Contracts, quality gates, and lineage—so your AI doesn't hallucinate from garbage data, and your team can trace errors back to their source.
AI retrieval (RAG/IR)
Search that holds up
Retrieval that finds the right documents, resists prompt injection, and stays fast under load—not just on your test set.
Agents & autonomy
Systems that act
Agent systems that call APIs reliably, fail gracefully when confused, and give you the visibility to debug them when they don't.
Approach
Pragmatic, measurable delivery
Thin slices, fast feedback, and observability from day one. I focus on measurable outcomes: latency, cost, reliability, and user satisfaction.
Experience
5+ years
Education
M.S. UT Austin
Focus
Data · AI retrieval · Agents