Demonstrated experience building with LLMs and agentic frameworks in production: tool-calling, retrieval-augmented generation, multi-agent orchestration (e.g., LangGraph, Bedrock Agents, MCP-style tool integration) which shipped and operated, not a weekend prototype. On a defined path to $1 billion in revenue, DAT deploys a suite of software solutions, machine learning models, and intelligent automation tools that help brokers, carriers, and shippers price freight accurately, source capacity, reduce risk, and operate more efficiently.