Fortune 500 Travel & Hospitality Company
Managed architecture, delivery, and production release of a Gen AI trip planner. Led engineering group delivering mobile app serving 300,000+ users across 240+ resorts. Enabled Agile AI PODs leveraging AI SDLC tools to cut technical debt by 40%.
Challenge
A Fortune 500 hospitality company's mobile app was the primary guest experience touchpoint across 240+ resorts. But years of accumulated technical debt made every feature release a 6-week ordeal. Guest satisfaction scores were declining because the app couldn't keep up with competitor innovation. Leadership wanted a Gen AI trip planner but the existing codebase couldn't support it.
Approach
Ran parallel tracks: 1. Introduced Agile AI PODs — small autonomous teams using AI SDLC tools (Cursor, Copilot, AI code review) to accelerate development. 2. Systematic tech debt reduction — AI-assisted refactoring to modernize the React Native codebase. 3. Architected and delivered the Gen AI trip planner — natural language trip planning that understands guest preferences, resort availability, and activity scheduling. 4. Implemented production observability and automated testing.
Outcome
Gen AI trip planner launched across 240+ resorts serving 300K+ users. Technical debt reduced by 40%, cutting feature release time from 6 weeks to 2 weeks. AI PODs methodology adopted company-wide. Guest satisfaction scores increased measurably after launch.
Architecture
Interactive Demo
Technology Stack
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