Samuel Savine

Machine Learning Engineer

Building intelligent systems that solve real-world problems. Specialized in deep learning, natural language processing, and scalable ML infrastructure.

Available for consulting on AI/ML projects.

Get in Touch View Projects

Featured Projects

Billabo

Live

A smart subscription management service that helps users create and optimize watchlists to minimize spending on streaming subscriptions. Built with intelligent recommendations and cost optimization algorithms.

Python Machine Learning NLP FastAPI
Visit Project →

CT Deep Learning Artifact Robustness

Preprint

Improving artifact robustness for CT deep learning models without labeled artifact images via domain adaptation. Preprint available on arXiv in computer vision and medical imaging.

Deep Learning Computer Vision Medical Imaging Domain Adaptation
View on arXiv →

Cancer Transfer Learning via Domain Adaptation

In Progress

Transfer learning from one cancer type to another using deep learning domain adaptation techniques. Research in progress at Johns Hopkins University exploring cross-domain medical imaging applications.

Transfer Learning Deep Learning Medical Imaging Domain Adaptation
Research in Progress

About

I represent the Navy's leading analytical force on radar systems, providing in-depth analysis, reporting, modeling, and simulation on radar related research, development, testing, evaluation, and the worldwide production, proliferation, characteristics, and performance of radar systems.

With a Master's in Artificial Intelligence from Johns Hopkins University and a Bachelor's in Electrical Engineering from George Mason University, I bridge the gap between advanced ML research and practical defense applications. My work spans deep learning for medical imaging, domain adaptation techniques, and large-scale radar modeling and simulation systems.

Currently, I lead radar modeling initiatives while pursuing cutting-edge research in transfer learning and artifact robustness for medical imaging, combining technical expertise with analytical leadership.

Experience

Radar Modeling and Simulation - Team Lead

May 2020 - Present

Office of Naval Intelligence

  • Develop a library of radar models on multiple simulation environments
  • Provide radar expertise to senior leadership and M&S working groups
  • Provide training to new employees to produce radar models

Deputy Executive Director (Acting)

Mar 2023 - Aug 2023

Office of Naval Intelligence

Part-time leadership role managing organizational initiatives and strategic planning.

Radar System Engineer

Jun 2018 - May 2020

Office of Naval Intelligence

  • Published technical reports on radar capability and trends
  • Provided radar expertise in joint projects and working groups
  • Researched new and emerging radar related technology

Education

Master of Science - Artificial Intelligence

The Johns Hopkins University

2023 - 2025

Natural Language Processing Deep Learning Computer Vision

Bachelor of Science - Electrical Engineering

George Mason University

2014 - 2018

Signal Processing Hardware Engineering Systems Design

Certifications & Awards

Phased Array Radar Systems

Georgia Tech Professional Education • 2022

Principles of Modern Radar

Georgia Tech Professional Education • 2019

Modeling and Simulation of Radar Systems

Georgia Tech Professional Education • 2019

Build a Small Radar System

Massachusetts Institute of Technology • 2018

Advanced Professional Education Scholarship

Office of Naval Intelligence • 2023

Civilian of the Quarter

Office of Naval Intelligence • 2021