Summary
Seth Donaldson is a Machine Learning Engineer with a decade of experience building production ML systems and research-driven models, currently based in New York. He has led small engineering teams to deliver LLM-powered tooling at The Home Depot and built real-time feature-serving infrastructure at Etsy that contributed to over $60M in revenue/savings. His background spans applied computer vision, GAN research, AutoML and feature engineering, with academic roots from Columbia University and hands-on experience translating research into production. Comfortable across the ML lifecycle, Seth has implemented Dataflow pipelines, Bigtable-backed feature stores, CI/CD for pipelines, and production-grade model-serving solutions. He pairs deep learning research experience (e.g., improving Deep Graph Pose and AutoML models) with practical mobile and frontend engineering early in his career, showing a rare blend of research literacy and product-minded execution. A polyglot learner who studies languages, he brings curiosity and cross-disciplinary thinking to complex ML problems.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science: Machine Learning Track, Master of Science - MS Computer Science: Machine Learning Track at Columbia University
English, Portuguese, Japanese