Sam Gehman
Software Engineer, Machine Learning at Google
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolSam 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
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Washington
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (45)
stripe10
android-sdk10
payment-methods10
payment-processing10
payment10
google-pay10
adyen10
square10
sdk9
transfer-learning8
structured-data8
kotlin8
android8
async7
mlp7
Programming languages (2)
Github contributions (4)
stripe/stripe-android
Nov 2020 - Nov 2020
Stripe Android SDK
Contributions:4 reviews, 2 comments in 1 day
stripestripe-sdkpayment-methodsandroidsdk
AIM-SKKU/IFQA
Jan 2024 - Jan 2024
Contributions:1 issue in 1 day
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