Sage Elliott is an AI engineer with 11 years of experience building reliable ML systems, currently leading the Applied AI lab at Union.ai. He specializes in GenAI, computer vision, and production-grade MLOps—designing scalable workflows, RAG pipelines, and cost-observable model lifecycles using Flyte and related orchestration tools. Sage has a strong developer-education background, having taught thousands via live workshops and created practical content and demos that bridge research and production. His work spans hands-on model fine-tuning (full, LoRA, QLoRA), object-detection pipelines, and implementing monitoring and guardrails for responsible AI. An active community organizer and mentor across multiple Seattle and SF meetups, he pairs technical execution with developer advocacy to accelerate adoption. Outside of work he’s often biking around Seattle scouting coffee shops, a small ritual that keeps his curiosity and energy fueled.
11 years of coding experience
9 years of employment as a software developer
Web Development, Web Development at Treehouse
Nanodegree Full Stack Development, Nanodegree Full Stack Development at Udacity
AA Computer Science, AA Computer Science at Eastern Florida State College
Contributions:49 pushes, 1 branch in 3 years 10 months
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