Drew Fustin is a Staff Machine Learning Engineer and data leader with 11 years of startup-focused experience building data organizations and production ML/vision systems. He has repeatedly worn both manager and IC hats—scaling teams and owning end-to-end architecture from ELT and data warehouses to deployed neural nets and inference services. His background spans CV, recommendations, forecasting, and optimization, with impact examples including a multi-million-dollar conversion uplift from recommendation engines and image-processing services that remove PII. As founder of a data consultancy he designs cloud architectures and delivery pipelines for early-stage companies, and at VSCO and soona he’s pushed generative and diffusion-model experimentation into product. Trained as a physicist (PhD/MS, University of Chicago), he brings quantitative rigor to practical, production-grade systems and a knack for translating research ideas into reliable business outcomes. He’s active across the internet as @drewfustin and maintains ML/CV-focused work publicly on GitHub.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.) Physics Mathematics Astronomy, Bachelor of Science (B.S.) Physics Mathematics Astronomy at Drake University
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Chicago
Contributions:4 commits, 2 pushes, 1 branch in 1 year 4 months
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