Clay Elmore is a Lead AI Engineer and co-founder with eight years of experience building production ML and data infrastructure, currently architecting the data and AI backbone at SpendAi to turn raw AP data into actionable procurement intelligence. He previously led GenAI and MLOps engagements at AWS, designing reusable architectures for LLMs, real-time recommendations, and embedding pipelines, and has a track record of shipping production deep learning systems and feature stores at Vail Resorts. Comfortable bridging research and operations, Clay started in computational research and chemical engineering applications, bringing a strong quantitative foundation and hands-on experience in scalable cloud architectures (Azure, Snowflake, Kubernetes). He’s entrepreneurial—co-founding 8090 and now building SpendAI’s engine—and often focuses on practical automation: generating ETL with LLMs, abstraction layers for model APIs, and reusable ML deployment patterns. Based in Seattle, he combines systems-level design with implementation velocity, and enjoys turning messy enterprise data into repeatable, high-throughput ML workflows.
8 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Chemical Engineering, Bachelor’s Degree Chemical Engineering at University of Notre Dame
Study Abroad Chemical Engineering, Study Abroad Chemical Engineering at University College Dublin
Contributions:5 PRs, 75 pushes, 7 branches in 9 months
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