Challenges Operationalizing ML (And Some Solutions)

Nathan Frank is currently the Director of Machine Learning Platform and Operations at Grainger where he is building a team to support the Technology Group's expanding machine learning efforts. Prior to joining Grainger, Nathan led machine learning engineering efforts at Strong Analytics, a boutique data science and machine learning consulting firm, as well as machine learning platform and development teams at Stats Perform, a leader in sports data and technology. Nathan holds bachelor's and master's degrees in Astrophysics from UC-Santa Cruz and UNC-Chapel Hill, respectively. When not building machine learning systems, Nathan spends as much time as possible with his favorite person in the world, his wife, as well as their four kids and two dogs, and enjoys getting outside to hike or garden and baking bread.

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.