Tom Switzer

Tom Switzer is a highly experienced software engineer with a focus on Machine Learning (ML) and data. He currently holds the position of Staff Software Engineer at Stripe, where he is instrumental in developing Machine Learning Infrastructure to facilitate the swift deployment of ML Systems.

Tom completed his Bachelor of Science (B.Sc.) in Computer Science at the University of Windsor, indicating a strong educational background in the field.

Having worked across various reputable organizations, Tom has accumulated a wealth of experience. Prior to joining Stripe, he served as a Senior Software Engineer at Pellucid Analytics, Rich Relevance, and Precog. He also held roles as a Senior Programmer/Analyst at Mount Sinai Hospital in Toronto, Wodak Lab at the Centre for Computational Biology, and the International Joint Commission.

Tom Switzer's expertise lies in building tools and services that optimize the production process of ML Systems, showcasing his proficiency in software engineering and Machine Learning Infrastructure.

With a solid educational foundation and a robust professional background, Tom Switzer's contributions to the field of software engineering and ML are noteworthy, making him a valuable asset to the tech industry.