Summary
Andrew Treadway is a Staff Machine Learning Engineer and tech lead at Meta with a decade of industry experience building end-to-end ML solutions across video infrastructure, live streaming, and music content understanding. He combines research-grade deep learning and NLP with production engineering—designing models, ML pipelines, and deployed systems that have driven cost savings and improved viewer quality at scale. His background spans insurance and finance use cases (New York Life, Markel) where he applied NLP, computer vision, and automation to real-world operational problems, demonstrating an ability to move from prototyping to measurable business impact. A hands-on mentor and educator, he has taught machine learning at Baruch College, co-created a popular online Python course, written 80+ tutorials on TheAutomatic.net, and is authoring a book on software engineering for data scientists. Colleagues know him for scoping multi-team projects and translating complex infra problems into debuggable, ML-driven tooling. Based in Los Angeles, he blends academic training from Georgia Tech with pragmatic delivery across large-scale, cross-functional programs.
10 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree Mathematics, Bachelor’s Degree Mathematics at Clemson University
Master’s Degree Computer Science / Machine Learning, Master’s Degree Computer Science / Machine Learning at Georgia Institute of Technology