AI audit review platform
Architected an audit review platform with Claude, MCP servers, LangChain and retrieval for a large consumer bank.
COACH"A single great agent is a parlor trick. A team of them, with a command center, is a company."
I have spent more than ten years shipping software in places where it has to work: account-opening flows at a regional bank, a microfrontend standard adopted across most of Rivian's applications, and accessible platforms at Bank of America and Ally. I hold an MS in Computer Science with a focus on machine learning from Stanford.
I architected an AI audit platform with Claude, MCP servers and retrieval that cut the review of about sixty audits per cycle from weeks to two days at most. On my own projects I run pods of Claude agents and review their output before anything reaches a human reviewer.
I coach developers and tech leads on agent team design, evals, test coverage and the day-to-day habits that keep agent-written code honest.
Roles, handoffs and stopping conditions before any agent ships. The org chart for your agents matters as much as the prompts.
Every agent has a written eval rubric and the code it touches has real coverage. No green checks, no production.
A first-pass review layer for agent output, so your senior engineers only see work worth their time.
Architected an audit review platform with Claude, MCP servers, LangChain and retrieval for a large consumer bank.
Led 12 engineers through a technical-debt paydown and a no-downtime cloud migration.
Tell us the bottleneck in a short request. A person on our team reads it and matches you with the coach who fits it, over video or in person, usually within 48 hours.