Buruj Mamdouh Kiahamy

Artificial Intelligence Specialization · Cohort 2026

Comparative Study of Documentation Systems for CMS with an AI-Assisted Docs-as-Code Prototype

This project investigates modernising the CMS experiment’s documentation system at CERN by migrating approximately 44,677 legacy TWiki pages to GitHub Flavored Markdown, a modern format compatible with CERN’s Git-based infrastructure. After evaluating Pandoc and identifying its limitations, we develop a custom converter achieving 98.6% success on the full corpus. The project also implements an AI-powered semantic search pipeline with Retrieval-Augmented Generation, enabling concept-based documentation retrieval and natural-language answers grounded in the original documentation.

Read the final report (PDF)