Metadata normalization
Drawing attributes—part number, revision, project code, type—normalized into a consistent schema.
CAD Guardian LLC · Proof detail
Search-first architecture that makes engineering drawing archives queryable at scale.
TL;DR
The system succeeded because drawing metadata was normalized and indexed before any UI was built. Query-driven retrieval replaced browse-and-scan workflows.
Public callouts

Challenge
A growing CAD drawing archive had no structured search capability. Engineers spent significant time manually locating drawings, slowing production and review workflows.
Approach
Audit existing drawing metadata fields and normalize across archive sources.
Design a query model that supports part number, revision, project, and keyword search.
Implement search UI and integrate with existing drawing management infrastructure.

Architecture layers
Drawing attributes—part number, revision, project code, type—normalized into a consistent schema.
Structured search layer that evaluates multi-field queries against the normalized drawing index.
Clean search UI that surfaces drawing results, revision history, and direct download or open actions.
Outcomes


Sanitization note
This proof is derived from a private project and private business records. Public language is limited to approved patterns, neutral client labels, and redaction-safe outcomes.
No client names, stakeholder names, internal codes, or branded screenshots are exposed here.