Mihail Eric is a machine learning practitioner who has spent more than a decade turning research into production systems. He is the founder of Pametan Data Innovation, a machine learning consultancy that helps organizations build data-driven systems to solve their toughest business problems. He is also a founder of Confetti AI, an educational platform where practitioners learn the skills they need to succeed in machine learning and data science careers.

His career sits at the intersection of research and engineering. After building his first machine learning model in 2012, Mihail worked in natural language processing at Stanford and went on to help start teams at RideOS in self-driving vehicles and Amazon Alexa in conversational AI. He has published papers at top conferences including ACL, AAAI, and NeurIPS, and the systems he has architected are used by hundreds of thousands of people around the world.

Mihail is equally committed to paying things forward. He actively blogs and speaks about complex topics in engineering, data science, and whatever else he is learning, and through Confetti AI he helps the next generation of practitioners build the practical, production-focused skills that real-world machine learning demands.