Ethan Goldfarb

Founding Machine Learning Engineer at Stealth Startup

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Ethan Goldfarb is a Founding Machine Learning Engineer based in San Francisco with 11 years of engineering experience and a CS degree from Cal Poly SLO with minors in Math, Stats, and Philosophy. He has built production ML systems across startups and established teams—from ML roles at Hive and Aquabyte to three internships at Apple—specializing in LLMs, CV, NLP, optimization, and distributed ML infrastructure. Comfortable shipping end-to-end solutions, he has hands-on experience with TensorFlow, scikit-learn, and large-scale data analysis pipelines that informed automated test classification and unsupervised rule generation. At his current stealth-stage startup he’s applying that blend of research-minded modeling and pragmatic engineering to accelerate product development. An uncommon detail: his background in philosophy complements his technical toolkit, sharpening his approach to model interpretability and decision-making under uncertainty.
code11 years of coding experience
job4 years of employment as a software developer
bookCalifornia Polytechnic State University, San Luis Obispo
bookThe Lovett School
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Github Skills (14)

prisma6
binding5
python-bindings4
python4
parsing3
tree-sitter2
llama1
code-generation1
gpt1
large-language-models1
parser1
xdr1
discord-bot1
code-generator1

Programming languages (4)

JavaCJavaScriptJupyter Notebook

Github contributions (5)

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ekg15/ekg15.github.io

Jan 2023 - Jan 2026

Contributions:76 pushes, 1 branch in 3 years
ekg15/basicneuralnet

Aug 2019 - Dec 2020

Contributions:23 pushes in 1 year 3 months
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