Summary
Duncan Mckinnon is an AI Engineer in Seattle with a decade of experience spanning software engineering, data science, and ML platform development. He specializes in production AI applications, real-time feature serving, and LLM observability, bridging research and enterprise-scale deployment. At Arize AI, he focuses on monitoring and improving reliability of production ML/LLM systems, while previously leading latency-reduction and revenue-driving recommender work at Wayfair (over $40M/year). His career also includes data science consulting at Microsoft and building online ML and personalization systems at AT&T, grounded in a strong CS foundation from UW Bothell and Notre Dame. He has progressed from software engineer to ML engineer to field AI engineer, giving him a practical end-to-end perspective on delivering value across personalization, forecasting, and agentic AI. Based in Seattle, he combines hands-on engineering with leadership to translate AI innovations into robust, scalable production solutions.
10 years of coding experience