Daniel R. Foster

LLM/RAG pipelines, Python, observability, eval design. AI cost optimization, retrieval tuning, prompt engineering. Production systems, Linux, databases.

LLM evaluation frameworks, RAG retrieval metrics, and cost-per-task optimization. Building audit tooling for production AI systems.

OptyxStack audit delivery: LLM eval pipelines, RAG recall/precision tooling, cost attribution. Practical guides for AI reliability.

Technical discussions on LLM/RAG troubleshooting, AI cost optimization, and hallucination reduction. Architecture reviews for production AI systems.