Skip Everling is a tech industry veteran with a wealth of expertise in technical systems and AI. He currently leads Developer Relations at Kolena, a leading company in ML Model Quality Testing. With a degree in Information Systems from Carnegie Mellon University, he has worked at companies like Google, Palantir, and Clarifai. Based in San Francisco, Skip is passionate about driving the AI industry forward with model quality standards and best practices.

Kolena's groundbreaking AI testing and validation platform provides developers with the tools and framework they need to build safe, reliable, and fair AI systems. Kolena’s unique approach of unit testing for ML, empowers ML scientists to test model performance, identify regressions, and validate model readiness for deployment, all at the scenario level. Kolena provides powerful tools for rich data visualization and explorations, creating representative testing scenarios, identifying and tracking model failure modes, and comparing models, without having to run python scripts or spin up costly data annotation efforts. By meticulously assessing and analyzing every aspect of AI models, Kolena offers a granular approach to ensure that AI models are rigorously tested before they are deployed to users.