Best Practices for Productionalizing Data & ML Projects

Michelle is Founder & CEO of noteable.io, an early-stage startup building next-gen analytics infrastructure. Before starting Noteable, she led the Big Data Tools engineering team at Netflix, where she was responsible for platform innovation and analytics tooling for Netflix’s industry-leading data platform. Prior to that, she led data engineering, data management, and platform architecture for GoDaddy, where she set a TPS record for SQL Server and helped pioneer Hadoop data warehousing techniques.

Matthew Seal is a co-founder and CTO of Noteable, a startup building upon his prior industry-leading work at Netflix. He began his career at OpenGov and helped build their data platform before quickly rising to lead architect. He then went to Netflix, where he had an opportunity to work on a variety of cutting-edge technologies & architectures at massive scale. Matthew holds an MS from Stanford in ML/AI & Robotics and is a thought-leader in the Jupyter community. HeÕs a core maintainer of many Jupyter and nteract projects such as papermill, and most recently testbook, and frequently presents related talks at conferences including PyCon, JupyterCon, & Spark Summit.