Russell Kaplan
About Russell Kaplan
Russell Kaplan is the Director of Engineering & Machine Learning at Scale AI, where he has worked since 2020. He has a background in software engineering and machine learning, with previous roles at companies such as Tesla, Dropbox, and MongoDB.
Current Role at ScaleAI
Russell Kaplan serves as the Director of Engineering & Machine Learning at Scale AI. He has held this position since 2020, contributing to the company's focus on artificial intelligence and machine learning solutions. His role involves overseeing engineering teams and driving the development of innovative technologies within the organization. Based in the San Francisco Bay Area, he plays a key part in advancing Scale AI's mission.
Previous Experience at Helia
Before joining Scale AI, Russell Kaplan co-founded Helia and served as its CEO from 2019 to 2020. During his tenure, he was involved in establishing the company's vision and strategy, focusing on delivering impactful solutions in the tech industry. His leadership contributed to the early development of the organization.
Software Engineering Background
Russell Kaplan has a solid background in software engineering, having worked at notable companies such as MongoDB and Dropbox. At MongoDB, he was part of the software engineering team for 11 months in 2014 in New York City. Later, he spent another 11 months in 2015 at Dropbox in San Francisco, where he contributed to various engineering projects.
Experience at Tesla
From 2017 to 2019, Russell Kaplan worked at Tesla as a Senior Machine Learning Scientist, focusing on Autopilot technology. His role involved applying machine learning techniques to enhance the capabilities of Tesla's autonomous driving systems. This position allowed him to leverage his expertise in machine learning within a leading automotive technology company.
Educational Background
Russell Kaplan studied at Stanford University, where he earned both a Bachelor of Science and a Master of Science in Computer Science. He graduated with distinction and was recognized as a member of Phi Beta Kappa and Tau Beta Pi, highlighting his academic achievements. Prior to Stanford, he attended The Dalton School, which provided a strong foundation for his future studies in technology.