Major Digital Publishing Enterprise
Led AI-driven content migration of legacy data and content management systems to AWS and Contentful cloud stack. Designed program-level data strategy leveraging Knowledge Graph and AWS technologies. Drove AI SDLC modernization by onboarding MCP servers as a foundation for engineering and test.
Challenge
A major digital publishing company had 4B+ documents trapped across legacy CMS platforms built over 20 years. Content was siloed, search was broken, and editorial teams spent more time finding content than creating it. The migration to a modern cloud stack was deemed 'impossible' by previous vendors.
Approach
Designed a phased migration program: 1. Built a Knowledge Graph to map all content relationships, metadata, and dependencies before moving anything. 2. Created AI-powered content classification pipeline to auto-tag and categorize documents during migration. 3. Deployed MCP servers to enable AI-assisted engineering — engineers used Cursor + MCP to write migration scripts 3x faster. 4. Migrated to AWS + Contentful in parallel workstreams across a multinational team.
Outcome
Complete migration of 4B+ documents to modern cloud stack. 300K+ users transitioned with zero downtime. Publishing cycle time reduced by 15% through ML-powered content classification. The Knowledge Graph became the foundation for a new semantic search product. AI SDLC tools (MCP + Cursor) are now standard across all engineering teams.
Architecture
Interactive Demo
Technology Stack
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