John Maiden is a software engineer with a focus on building recommendation systems in the social media space. He’s given presentations about his work at Data Council and ML Conf, and he’s talked about building knowledge graphs on the Data Engineering Podcast. John has built knowledge graphs for real estate at a startup and has worked at JP Morgan Chase, where he led a team that produced personalized insights that were delivered to millions of Chase customers. He has a BA from Hamilton College and a PhD in Physics from University of Wisconsin–Madison.
