Using Scale Nucleus and Rapid to Label New Datasets Efficiently

Barrett Williams is passionate about robotics and operationalizing ML. He’s a Senior Technical Marketing Manager focused on Scale Nucleus and Document AI. Prior to Scale, he worked at SigOpt (acquired by Intel) on MLOps products, and at Google launching big data and AI Cloud services.

Russell Kaplan leads Scale Nucleus, the data management platform for machine learning teams. He was previously founder and CEO of Helia AI, a computer vision startup for real-time video understanding, which Scale acquired in 2020. Before that, Russell was a senior machine learning scientist on Tesla's Autopilot team, and he received his M.S. and B.S. from Stanford University, where he was a researcher in the Stanford Vision Lab advised by Fei-Fei Li.

Zhichun Li is the Head of Scale Rapid at Scale AI. She built the team from scratch with a focus on providing the fastest way to production-level quality labels within a day, with no data minimums. As an early employee of the company, she built up the infrastructure for our supply ops system and scaled up our 3D Sensor Fusion product. Prior to Scale AI, Zhichun studied CS at CMU and earned her MBA from Yale SOM.