Lucid | 2025-present
Engineering Knowledge & Workflow Tools
Turning fragmented engineering information into a structured system for retrieval, review, and decision support.
Overview
At Lucid, Travis built engineering knowledge and workflow tools for Materials & Joining by combining a curated knowledge base, a user-facing web application, and retrieval support against the same structured information environment.
The Challenge
Engineering knowledge was fragmented across documents, tools, issue histories, and expert memory. Useful tooling required a trustworthy knowledge architecture and clear workflow design before model behavior could matter.
Travis's Role
Staff Adhesive Engineer and workflow systems lead for Materials & Joining. Travis audited information flows, restructured knowledge, designed the user-facing workflow, and implemented decision-support tooling.
What Travis Built
A structured knowledge-management system and internal web application that could retrieve, organize, and synthesize engineering knowledge.
How It Worked
Information was organized around real engineering workflows so people and software tools could work from the same trusted structure.
Outcome
Supported workflow redesign for issue management and requirements definition, with projected multi-million-dollar cost reduction through process and technology improvements.
What This Taught Travis
The most important part of useful AI tooling is not the model. It is the workflow and knowledge architecture around the model.