Consulting
I design and build multi-agent AI systems and data infrastructure for SMB and enterprise teams. I focus on what ships — not what demos.
How I work
Data layer audit
Before building agents, I assess whether your data infrastructure can support autonomous systems. Most teams skip this. Most pilots fail.
Agent architecture design
Orchestration patterns, model routing, context isolation, fan-out/fan-in — designed for your specific workflow, not a generic template.
Implementation
I build the system, not just the plan. Claude SDK, LangGraph, or custom orchestration depending on what the problem actually needs.
Evaluation & reliability
Observability, trace IDs, evals, failure handling. The work that makes the difference between a demo and a system that runs in production.
Book a call
30 minutes. Tell me what you're trying to build. I'll tell you honestly whether it makes sense and where the infrastructure gaps are.