Sawyer Birnbaum is a Chief of Staff and product-oriented machine learning engineer with a decade of experience building data-driven systems that reduce waste and improve operations in supply chains and startups. A Stanford MS in Computer Science and Wharton MBA triple-major blend technical depth with strategic finance and sustainability expertise, reflected in projects from demand-forecasting deep learning models to SOC 2 security programs. At Afresh he delivered measurable impact—improving demand prediction by 20%, increasing codebase efficiency by 15%, and designing monitoring tools to track waste reduction—while also hiring and leading ML teams. He has product and investment-facing experience from roles at Inception and Anthos Capital where he designed sourcing systems and analytics that informed decisions. Comfortable bridging engineering, security, and business, Sawyer is equally at home prototyping models and shaping company-wide processes. Based in Palo Alto, he brings a rare combination of political science–grounded quantitative thinking and hands-on ML/product execution aimed at measurable social and environmental outcomes.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
West Anchorage High School
Master of Business Administration - MBA Triple Major: Finance Entrepreneurship and Business Energy Environment & Sustainability, Master of Business Administration - MBA Triple Major: Finance Entrepreneurship and Business Energy Environment & Sustainability at The Wharton School
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