# Ryne Carbone

> Staff Machine Learning Engineer at Ramp

Location: New York, New York, United States
Profile: https://flows.cv/ryne

Machine Learning expert with extensive quantitative and technical leadership experience. I deliver impactful tailored solutions by leveraging creativity, problem solving, collaboration, effective framing, and clear communication.

## Work Experience
### Staff Machine Learning Engineer @ Ramp
Jan 2024 – Present | New York, New York, United States

### Senior Machine Learning Engineer @ Ramp
Jan 2023 – Jan 2024 | New York, New York, United States

### Machine Learning Engineer (L6) @ Square
Jan 2022 – Jan 2023 | New York, New York, United States

### Machine Learning Engineer (L5) @ Square
Jan 2021 – Jan 2022 | New York, New York, United States

### Vice President - Data Scientist Lead @ JPMorgan Chase & Co.
Jan 2020 – Jan 2021 | New York, New York

### Data Scientist @ JPMorgan Chase & Co.
Jan 2019 – Jan 2020 | New York, New York

### Data Scientist @ Unified
Jan 2018 – Jan 2018 | Greater New York City Area

### Graduate Student Researcher @ Columbia University in the City of New York
Jan 2013 – Jan 2017 | Greater New York City Area
Performed particle physics research with the ATLAS experiment at the CERN Large Hadron Collider in Geneva, Switzerland, looking for new particle resonances beyond the Standard Model

Search for exotic new physics phenomena in high-energy particle collisions:
◆ Optimized search space by profiling simulated signal sensitivity, leading to strongest theoretical results at time
◆  Led statistical analysis employing simultaneous maximum likelihood fits, Monte Carlo modeling, and Boosted Decision Trees
◆ Developed C++ framework with parallel computing, filtering TBs of data down to GB scale for analysis
◆ Employed clear and effective data visualization techniques to interpret and present results

Precision timing calibration of the Liquid Argon Calorimeter for the ATLAS Detector: 
◆ Constructed C++ package implementing algorithms to extract detector calibrations from 18 million particle collisions
◆ Provided streamlined framework to distribute results for use by other ATLAS teams

Research and development of Nevis 12 ADC, a custom integrated circuit for upgrade of ATLAS Detector
◆ Developed C# GUI for automated, remote calibration of prototype ADCs
◆ Efficiently characterized performance of ADCs during proton-beam irradiation using automated procedure

### Graduate Teaching Assistant @ Columbia University in the City of New York
Jan 2012 – Jan 2014 | Greater New York City Area
Taught courses for undergraduates including
◆ Physics III: Classical and Quantum Waves (C2601)
◆ Intermediate Physics Electronics Lab (W3083)
◆ Introductory Physics Lab Sequence (W1291 & W1292)
◆ Physics for Poets (C1001)
◆ Columbia University Science Honors Program - Particle Physics (High School Students)

### Run Coordinator, Liquid Argon Calorimeter for the ATLAS Detector @ CERN
Jan 2014 – Jan 2015 | Geneva Area, Switzerland
◆ Oversaw detector hardware and software operations, managed technical and non-technical collaborators
◆ Acted as liaison between ATLAS management and detector team, presented regularly at collaboration meetings


## Education
### Doctor of Philosophy - PhD in Physics
Columbia University

### Master’s Degree in Physics
Columbia University

### Bachelor’s Degree in Physics, Math, Spanish
University of Wisconsin-Madison


## Contact & Social
- LinkedIn: https://linkedin.com/in/rynecarbone

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Source: https://flows.cv/ryne
JSON Resume: https://flows.cv/ryne/resume.json
Last updated: 2026-04-07