Available for Summer 2026 Roles

Hi, I'm Charles.

An aspiring Software Engineer located in New York, NY.

I specialize in engineering solutions across application development, deep learning, and embedded systems.

Charles Hodgins

charles_hodgins.jpg

👨‍💻 Experience

Graduate Researcher

Binghamton University Digital Data Embedding Lab

Conducted research on Explainable AI methods to interpret how deep learning models detect hidden information in digital images (steganalysis)

Graduate Machine Learning Teaching Assistant

Binghamton University Computer Science Department

Gave lectures on machine learning, provide feedback and hold office hours for graduate level data science students

Firmware Engineer

Binghamton University Rover Team

Wrote firmware to interface with sensors and components for various subsystems on competition rover

Undergraduate Course Assistant

Binghamton University Electrical and Computer Engineering Department

Provided extensive knowledge on introductory embedded computing systems, processor architecture and conducted code reviews to students

🎓 Education

Masters of Science in Electrical and Computer Engineering

Binghamton University, State University of New York

May 2026

Focus: Digital Signal Processing

Bachelors of Science in Computer Engineering

Binghamton University, State University of New York

May 2025

Download PDF Resume

Recent projects

Python Redis Queue Clone

Python Redis Queue Clone

Python

Clone of redisqueue that is built on FastAPI with Python for queuing tasks with long runtimes to run sequentially to automate execution of long runtime data pipeline steps and model training

Source Code
Digital Forensics Sensor Fingerprinting

Digital Forensics Sensor Fingerprinting

MATLAB

MATLAB script that identifies camera sensors using Photo-Response Non-Uniformity (PRNU) fingerprints. By preprocessing noise patterns and calculating Peak-to-Correlation Energy (PCE) scores.

Source Code
F1Tenth Autonomous RC Car - Lockheed Martin

F1Tenth Autonomous RC Car - Lockheed Martin

Python,C++,Bash

Trained and tested an open-source competition autonomous racecar with a ROS2 workspace using computer vision, lidar point clouds and custom machine pytorch models.

Source Code
Neural Network Demo

MNIST Digit Classifier

Draw a number (0-9) and let the model predict it in real-time.

Waiting for input...