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Ryan Mccaffrey Email & Phone Number

Lead AI Engineer at Capital One
Location: New York City Metropolitan Area, United States 7 work roles 3 schools
1 work email found @rebelliondefense.com LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email r****@rebelliondefense.com
LinkedIn Profile matched
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Current company
Role
Lead AI Engineer
Location
New York City Metropolitan Area, United States

Who is Ryan Mccaffrey? Overview

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Quick answer

Ryan Mccaffrey is listed as Lead AI Engineer at Capital One, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at rebelliondefense.com and a matched LinkedIn profile for Ryan Mccaffrey.

Ryan Mccaffrey previously worked as Staff Machine Learning Engineer at Rebellion Defense and Senior Machine Learning Engineer at American Express. Ryan Mccaffrey holds Bachelor Of Science (Bs), Mechanical Engineering With Mathematics Minor from The Johns Hopkins University.

Company email context

Email format at Capital One

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{first_initial}{last}@rebelliondefense.com
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AeroLeads found 1 current-domain work email signal for Ryan Mccaffrey. Compare company email patterns before reaching out.

Profile bio

About Ryan Mccaffrey

Ryan Mccaffrey is a Lead AI Engineer at Capital One. He possess expertise in python, machine learning, scikit learn, data analysis, data mining and 47 more skills.

Listed skills include Python, Machine Learning, Scikit Learn, Data Analysis, and 48 others.

Current workplace

Ryan Mccaffrey's current company

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Capital One
Capital One
Lead AI Engineer
AeroLeads page
7 roles

Ryan Mccaffrey work experience

A career timeline built from the work history available for this profile.

Lead Ai Engineer

Current

Mclean, Va, Us

Sep 2024 - Present

Staff Machine Learning Engineer

Washington, District Of Columbia, Us

Developed ML applications for customer-facing intelligence products, including custom NLP models for classification, NER and relation extraction tasks, as well as tools for geospatial analysis and anomaly detection. Responsible for onboarding Kubernetes-native MLOps training and serving platform (Kubeflow + Seldon Core). Fine-tuned Large Language Model (LLM) to identify most critical assets in a cyber network. Tech Lead of battlespace awareness product for Navy customers (responsible for vessel trajectory forecasting and anomaly detection).

Feb 2022 - Jul 2024

Senior Machine Learning Engineer

New York, Ny, Us

As a core engineer on Amex's Machine Learning Platform team I developed, tested and deployed scalable machine learning applications for enterprise use. Some key projects were centered around model monitoring, explainability and fairness. Additionally, I served as Lead ML Engineer on the development of location-based restaurant and hotel recommendation services.

Jan 2019 - Feb 2022

Data Science And Machine Learning Mentor

Canada And Usa, Ca

As a mentor, I provided one-on-one technical mentorship to aspiring ML engineers and data scientists, guiding them through real-world ML projects.

Mar 2019 - May 2020

Data Scientist

Princeton, New Jersey, Us

As a data scientist within Covance Informatics, I was part of a small research team whose broad mission was to develop and explore statistical and machine learning strategies to improve various aspects of clinical trial operations (e.g., patient enrollment, risk forecasting and management, site optimization, study feasibility assessments, etc.). Some projects I worked on include statistical modeling and analysis of clinical trial risk monitoring systems and exploring predictive models to forecast risk. I also developed deep learning natural language processing (NLP) models (i.e., AWD-LSTM language modeling with PyTorch/fastai libraries) to classify and extract insights from trial protocol eligibility criteria text. In addition, I performed validation testing of statistical review software used for anomaly detection of clinical trial data.

Sep 2017 - Jan 2019

Senior Mechanical Engineer

Houston, Texas, Us

• Applied design and process improvements to nuclear technology products used in the downhole oilfield market.• Functioned as neutron generator subject matter expert in a technical support role for global field sites and integration centers.

Aug 2014 - Jan 2017

Manufacturing Engineer - Neutron Generators

Houston, Texas, Us

• Oversaw production, delivery and performance optimization of neutron generator product line.

Apr 2012 - Jul 2014
3 education records

Ryan Mccaffrey education

Bachelor Of Science (Bs), Mechanical Engineering With Mathematics Minor

The Johns Hopkins University

Master Of Science (Ms), Mechanical Engineering

University Of Michigan

Master Of Science (Ms), Materials Science And Engineering

University Of Pennsylvania
FAQ

Frequently asked questions about Ryan Mccaffrey

Quick answers generated from the profile data available on this page.

What company does Ryan Mccaffrey work for?

Ryan Mccaffrey works for Capital One.

What is Ryan Mccaffrey's role at Capital One?

Ryan Mccaffrey is listed as Lead AI Engineer at Capital One.

What is Ryan Mccaffrey's email address?

AeroLeads has found 1 work email signal at @rebelliondefense.com for Ryan Mccaffrey at Capital One.

Where is Ryan Mccaffrey based?

Ryan Mccaffrey is based in New York City Metropolitan Area, United States while working with Capital One.

What companies has Ryan Mccaffrey worked for?

Ryan Mccaffrey has worked for Capital One, Rebellion Defense, American Express, Sharpestminds, and Covance.

How can I contact Ryan Mccaffrey?

You can use AeroLeads to view verified contact signals for Ryan Mccaffrey at Capital One, including work email, phone, and LinkedIn data when available.

What schools did Ryan Mccaffrey attend?

Ryan Mccaffrey holds Bachelor Of Science (Bs), Mechanical Engineering With Mathematics Minor from The Johns Hopkins University.

What skills is Ryan Mccaffrey known for?

Ryan Mccaffrey is listed with skills including Python, Machine Learning, Scikit Learn, Data Analysis, Data Mining, Data Modeling, Mathematical Modeling, and Computer Vision.

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