Summary
George Snelling is a senior software engineer in Seattle with 12 years of experience focused on building low-level infrastructure to support machine learning at scale. Based in Lyft’s Pioneer Square engineering office, he tackles hard systems problems that enable efficient, sustainable transportation at large scale. He combines a strong technical foundation with business acumen from an MBA at Stanford and a dual BS in Economics and Computer Science from Duke, magna cum laude. Comfortable operating at the intersection of infra and ML, he thrives on ambiguous, big-picture challenges and competing against industry giants. Colleagues would describe him as pragmatic, mission-driven, and curious about how small engineering choices impact product footprint and performance.
12 years of coding experience
MBA, MBA at Stanford University Graduate School of Business
Bachelor of Science, Economics and Computer Science, magna cum laude, Bachelor of Science, Economics and Computer Science, magna cum laude at Duke University