AI Systems Advisory
I advise teams building agentic and LLM-powered systems: architecture, tool and orchestration design, and evaluation.
Hands-on experience
- › Agent orchestration on AWS Bedrock AgentCore
- › Model Context Protocol (MCP) server design and implementation
- › Retrieval and evaluation architecture for high-stakes, compliance-sensitive domains
- › LLM fine-tuning and reasoning-trace experimentation (RLHF, GRPO-family methods)
- › AI delivery for government and regulated-industry service workflows
How I work with teams
Architecture review
A read of an existing agentic or LLM system: orchestration boundaries, tool design, failure modes, and what breaks when it meets real users.
Advisory
Recurring time with a team that's already building. Design decisions, tradeoffs, and a second set of eyes on the parts that are hard to undo later.
Hands-on consulting
Building alongside your engineers on prototypes, evaluation harnesses, MCP servers, and retrieval pipelines.
I scope engagements per project. Most start with a short conversation about what you're building and whether I'm the right person for it.
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