Case study · knowledge-system
Zero-Connectivity Knowledge System
Air-gapped troubleshooting knowledge base
An air-gapped knowledge tool that turns 1,100+ siloed logs and PDF manuals into searchable answers — no internet required.
- Python
- ETL
- Regex
- HTML/JS
01
Logs + PDF manuals
1,100+ siloed files
02
Python ETL
Regex parsing
03
JSON database
Queryable, local
04
Offline HTML/JS app
Zero connectivity
01 · Problem
Troubleshooting knowledge was siloed in logs and PDF manuals, in an environment without internet access.
02 · Diagnosis
Technicians needed searchable answers offline; knowledge lived in people’s heads and scattered files.
03 · Fix
- A Python ETL pipeline with regex parsing that turns 1,100+ logs and PDF manuals into a queryable JSON database.
- A client-side HTML/JS app that renders it — fully air-gapped.
04 · Result
- Digitized tribal knowledge.
- Significantly reduced Mean-Time-To-Repair (MTTR) without internet connectivity.
Details kept at résumé level for confidentiality.