Ryne Carbone
Staff Machine Learning Engineer at Ramp
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRyne Carbone is a Staff Machine Learning Engineer in New York with a decade of experience translating complex data problems into production ML systems across fintech and payments. He combines a PhD in Physics with hands-on engineering roles at Ramp, Square, and JPMorgan Chase, applying rigorous statistical methods and scalable software design to high-impact products. His background at CERN and Columbia includes building C++ frameworks to reduce terabytes to gigabytes and orchestrating precision detector calibration—skills he now leverages for efficient model pipelines and robust data infrastructure. Known for clear communication and collaborative leadership, he leads cross-functional teams from problem framing through deployment. Beyond standard ML practice, he brings experimental rigor from particle physics—profiling simulated signal sensitivity and large-scale Monte Carlo workflows—to improve model validation and uncertainty estimation.
10 years of coding experience
11 years of employment as a software developer
Bachelor’s Degree Physics Math Spanish, Bachelor’s Degree Physics Math Spanish at University of Wisconsin-MadisonDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Columbia University
Spanish, French, English
Github Skills (2)
sports-data10
espn9
Programming languages (1)
Github contributions (5)
rynecarbone/rynecarbone.github.io
Feb 2016 - Dec 2020
Contributions:164 pushes, 1 branch in 4 years 10 months
rynecarbone/power_ranker
Sep 2017 - Nov 2019
Produces power rankings for ESPN fantasy football leagues
Contributions:7 releases, 141 commits, 1 PR in 2 years 2 months
footballleaguesrankingspowerespn-fantasy-football
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