Sage Elliott is a technologist and educator who has spent more than a decade working in hardware and software engineering roles at startups. That background gave him a grounded, build-it-and-ship-it perspective on technology, from embedded hardware to modern machine learning applications, and it still shapes how he teaches and communicates today.

Education is where Sage has made his broadest mark. Through hands-on workshops and mentoring at hackathons, he has helped thousands of people take their first steps in programming, machine learning, and computer vision. His teaching style favors doing over watching: short feedback loops, real projects, and practical explanations that make intimidating topics approachable for beginners and career changers alike.

As a technical evangelist at WhyLabs, Sage focuses on AI observability, helping teams understand, monitor, and trust the machine learning systems they put into production. He enjoys breaking down complex concepts into clear, actionable ideas and talking with practitioners across the Robust and Responsible AI community. You can find his writing, projects, and resources on his website, sageelliott.com.