LLM integration that fits the workflow
Good AI architecture starts with the product workflow: where the model helps, where it should not decide, when a human reviews, and how the system fails safely.
RAG, MCP, and tool orchestration
I work on retrieval-augmented generation, MCP and agent-tool integrations, structured interfaces, and backend services that connect AI features to real systems.
Reliability before launch
Production AI needs evaluation, confidence thresholds, audit trails, fallbacks, observability, and operational controls before the first high-stakes incident.
Common advisory focus areas
- LLM application architecture
- RAG and retrieval design
- MCP / agent-tool integration
- Evaluation, fallback, and review-loop design