Consumer Intelligence
AI Strategy & LLM Integration at Qloo
Leading AI strategy for a cultural intelligence platform with 3.7B+ entities — pioneering LLM integration, multi-model infrastructure, and new market channels.
Key Outcomes
- — Pioneered MCP server for major LLM platform integration
- — Architected provider-agnostic multi-LLM infrastructure
- — Secured significant contract expansion with American Express
The Context
Qloo is a cultural intelligence platform that maps human taste across 3.7B+ lifestyle entities — music, dining, fashion, travel, and more — using privacy-preserving AI. I joined as SVP of AI to accelerate the platform’s evolution and open new market channels.
What I Do
I lead AI strategy and engineering execution, focusing on making Qloo’s intelligence accessible through modern AI interfaces and expanding its commercial reach.
Key Contributions
- Pioneered Model Context Protocol (MCP) server enabling integration with major LLM platforms, expanding Qloo’s market reach into the agentic AI ecosystem
- Architected provider-agnostic multi-LLM infrastructure, reducing single-vendor dependency and increasing system resilience
- Engineered new optimization models with LLM-based synthesis, improving recommendation quality
- Transformed development practices by implementing rigorous code standards and orchestrating synchronized sprint cadences across engineering teams, accelerating release cycles
- Secured significant contract expansion with American Express through innovative data model demonstrations and strategic executive presentations
The Impact
These initiatives are positioning Qloo at the intersection of cultural intelligence and the emerging agentic AI landscape — making taste data accessible not just through APIs, but through the AI platforms developers and enterprises are already building on.