Ethan Weber

Senior Data Scientist

New York, New York, United States
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Summary

🤩
Rockstar
🎓
Top School
Ethan Weber is a Senior Data Scientist with a decade of experience building production-grade ML systems and data products, currently at Plaid after leading AI efforts on Messenger at Meta. He combines research-level AI expertise—an academic background including EECS at MIT and PhD work at Berkeley—with hands-on engineering: refactoring full-stack NeRF tooling, containerizing projects, and shipping scalable pipelines in Airflow and PySpark. His career spans startups to large tech, delivering impact in recommendation, causal and probabilistic modeling, and automated feature engineering for high-stakes decisions like insurance and social behavior inference. Ethan is comfortable moving models from research to deployment, optimizing both MLOps and model performance, and contributing to open-source projects that improve developer workflows. Based in New York, he brings a product-minded, metrics-driven approach and a knack for reorganizing messy codebases into reproducible, package-oriented systems. An uncommon thread across his roles is merging deep academic grounding with pragmatic DevOps and full-stack contributions that accelerate team delivery.
code10 years of coding experience
job8 years of employment as a software developer
bookNYC Data Science Academy
bookBachelor of Science - BS Economics, Bachelor of Science - BS Economics at Tulane University
languagesEnglish, Spanish
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Github Skills (9)

pytorch10
python9
docker8
dockers8
serf7
computer-vision6
3d-reconstruction6
ml5
mle5

Programming languages (9)

TypeScriptC#C++CSSJavaScriptSwiftHTMLJupyter Notebook

Github contributions (5)

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A collaboration friendly studio for NeRFs
Role in this project:
userFull-stack Developer
Contributions:4 releases, 141 reviews, 230 commits in 10 months
Contributions summary:Ethan restructured the project to use packages and refactored the code to improve its structure. They introduced new files, including a Dockerfile and a setup file, which implies setting up and managing development environments and dependencies. Furthermore, they updated existing codebase which may involve working on both backend and frontend as well as DevOps.
pytorchphotogrammetrydeep-learningcomputer-vision3d-reconstruction
ethanweber/pollo

Nov 2021 - Jul 2022

Contributions:16 commits, 44 pushes, 1 branch in 8 months
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Ethan Weber - Senior Data Scientist