Zach Lamberty is a data-driven engineering leader with 11 years of experience translating advanced computational science into production-grade analytics and ML systems. Currently Head of Engineering at Storyblocks, he progressed through technical and leadership roles there from data scientist to director, shaping data platforms and ML teams. He holds an M.S. in Theoretical Physics from Cornell, where he developed sophisticated simulation and modeling expertise now applied to large-scale data problems. An adjunct lecturer at Georgetown, Zach blends rigorous academic training with practical cloud-native tooling—particularly the scientific Python stack and AWS—for reproducible analytics. His background includes financial data acquisition and modeling, giving him a strong grounding in low-latency, reliable data pipelines. Colleagues describe him as a strategic problem solver who enjoys turning abstruse scientific ideas into clear, actionable business outcomes.
11 years of coding experience
17 years of employment as a software developer
Master of Science (M.S.) Physics, Master of Science (M.S.) Physics at Cornell University
BS Physics Mathematics Honors Program, BS Physics Mathematics Honors Program at University of Notre Dame
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Contributions:5 reviews, 12 PRs, 9 pushes in 3 years 5 months
containerspytorchmxnetservingdata-science
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