Zach Lipp is a Forward Deployed Engineer based in New York with a decade of experience building production ML and cloud systems across startups and enterprise teams. He has led machine learning efforts at Capital One and Numerator, re-implemented core deep learning primitives while at the Recurse Center, and regularly bridges data science research with pragmatic engineering. Comfortable across Python, Go, WASM, C, and TypeScript, he ships models and services from prototype to cloud deployment and enjoys pairing deeply on low-level implementations. His background in mathematics and hands-on work re-implementing autograd, ResNet, transformers, and GPT-2 hints at both strong theoretical grounding and an inclination for understanding systems from first principles.
10 years of coding experience
9 years of employment as a software developer
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Concordia College
Contributions:8 PRs, 23 pushes, 12 branches in 5 years 5 months
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Zach Lipp - Forward Deployed Engineer at Scaled Cognition