Sam Gehman
Seattle, Washington, United States
Summary
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RockstarSam Gehman is a software engineer specializing in machine learning with five years of experience building and deploying production ML systems at Stripe and Google. He has led foundation-model training at Stripe and now contributes to Gemini applied research at Google, with earlier work applying computer vision to identity fraud prevention and developing firmware and ROM update systems for Android payment terminals. Sam holds an M.S. in Computer Science from the University of Washington and combines research mentorship experience with hands-on product engineering from internships at Apple, JPL, and Motorola. Based in New York, he blends deep-model training expertise with pragmatic systems engineering, often bridging research prototypes and scalable production pipelines. An observant collaborator, he brings a track record of moving experimental ML into secure, user-facing applications.
5 years of coding experience
Github Skills (26)
stripe10
android-sdk10
transfer-learning7
structured-data6
coroutines6
kotlin6
async6
computer-vision5
natural-language-processing5
ensemble-learning5
gluon5
python5
pytorch4
data-science4
automl4
Programming languages (2)
Github contributions (4)
stripe/stripe-android
Nov 2020 - Nov 2020
Stripe Android SDK
Contributions:4 reviews, 2 comments in 1 day
android-sdkstripestripe-sdk
AIM-SKKU/IFQA
Jan 2024 - Jan 2024
IFQA: Interpretable Face Quality Assessment - Official Pytorch Implementation (WACV 2023)
Contributions:1 issue in 1 day
pytorch
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