AI & LLM Engineer
Gabriel & Co.
- −90% QA effort. Led the development and evolution of GREAT — automated scoring across 34+ agents and three channels, lifting rep quality scores from the 80s into the 90s.
- +65% evaluation quality. Designed evaluation frameworks, scoring methodologies and prompt architectures assessing customer interactions at scale.
- 24+ tools integrated. Architected AI agents, MCP servers, RAG pipelines and workflow automation across internal tools, AWS data sources and dashboards.
- Shipped AI for recommendations, retailer-brand monitoring, content generation and operational analytics.