James Goedmakers

PhD in Computer Science – Florida Atlantic University (GPA: 3.8/4.0) May 6, 2027

MS in Artificial Intelligence – Florida Atlantic University (GPA: 3.9/4.0) August 8, 2023

BS in Computer Science – Florida Atlantic University (GPA: 3.8/4.0) May 6, 2022

Data Scientist – NextEra Energy

December 2025 – Present | Fort Lauderdale, FL
Python, SQL, Excel, Dbeaver, Bash, C++, WSL, Tableau, AWS (Redshift, Sagemaker, Bedrock)

• Queries and analyzes energy grid databases.
• Trains machine learning models to predict energy infrastructure component behaviors such as EV Detection and EV charging load disaggregation.
• Supports data system migration through dataset extraction, mapping, conversion, and validation.
• Develops AI Agents to retrieve and interpret energy grid data.

Computer Scientist – Department of the Navy

April 2024 – October 2025 | Orlando, FL
MATLAB, Python, Bash, C++, SysML, HyperV, Red Hat Enterprise Linux
Installed and operated a linux virtual machine component of a Navy ASW trainer to generate and analyze acoustic datasets. Developed software algorithms in MATLAB to incorporate additional detection functionality of underwater acoustic phenomena for deployment on Navy P8 ASW training systems.
Calculated and compiled key acoustic feature datasets from ASW systems to enable training and evaluation of machine learning models in order to increase prediction capabilities of Navy ASW systems.
Performed training system cold starts, system model reviews, software requirement document reviews, and contract research proposal technical reviews for source selection teams.

Research Intern – Naval Information Warfare Center

May 2023 – September 2023 | San Diego, CA
Python (Scikit-learn, Numpy, Pandas, Matplotlib), Jupyter
Generated target motion analysis scenario datasets using a Navy UAV simulator.
Trained machine learning models on scenario data to predict target range and optimal vessel maneuvers.
Presented and visualized development progress and experiment results to project team leads.

Research Assistant – Florida Atlantic University

May 2022 – May 2023 | Boca Raton, FL
Python (Numpy, Pandas, Matplotlib, Seaborn, PyTorch), Jupyter, Bash, HPC
Evaluated methods to optimize the video coding for machines (VCM) standard adopted by MPEG.
Developed Bash and Python scripts to pre-process image datasets and perform computer vision task evaluation using a cloud based High Performance Computing platform.
Communicates findings through presentations and data visualizations to the multimedia research team.

Foveated Compression for Computer Vision (Digital Image Processing – Spring 2024)
Experimented with foveated image compression for improving efficiency while maintaining classification performance.

Network Intrusion Detection (Computer Data Security – Spring 2024)
Implemented a network intrusion prediction model using Python and Cybersecurity datasets.

Public and Private Key Encryption (Practical Aspects of Modern Cryptography - Spring 2023)
Implemented public and private key encryption algorithms including DES and ElGamal from scratch using C++.

Recommendation Systems (Advanced Internet Systems - Spring 2023)
Implemented a content-based media content recommendation system in Python.

Natural Language Processing (Natural Language Processing - Spring 2023)
Performed Natural Language Processing tasks on text articles using Java and OpenNLP library.

Convolutional Neural Networks (Deep Learning - Fall 2022)
Conducted experiments on the effectiveness of modifying various CNN layers to improve computer vision tasks.

Systematic Review and Medical Databases (AI in Medicine - Fall 2022)
Collaborated with a group of NRT students to write a systematic review on the use of machine learning in diagnosing neurodegenerative diseases using audio and brain signals from the All of Us medical database.

Information Retrieval (Information Retrieval - Fall 2022)
Performed text processing tasks using tools such as Weka and Python libraries including NLTK.

Post Quantum Encryption (Engineering Design - Fall 2021 & Spring 2022)
Coordinated with a group of other students and instructors through Microsoft Teams to plan and implement the SABER post quantum encryption algorithm in C++: https://github.com/Joshcrates/SABERproj

Data Science (Intro to Data Science - Spring 2022)
Utilized Numpy, Pandas, SKLearn, Matplotlib, Keras, and TensorFlow Python libraries to process datasets.

Agile Software Development (Principles of Software Engineering - Fall 2021)
Engaged in the agile software development process with a group of other students using Jira and Scrum to design and implement a social media web app for students consisting of HTML, CSS, Javascript, and SQL.

Regression Algorithms (Computational Foundations of AI - Fall 2021)
Implemented linear and logistic regression algorithms in Python from scratch. Numpy library used for matrix efficiency.

My SQL Database (Intro to Database Structures - Spring 2021)
Used SQL to create a database from provided documents and write queries for the database.

Web Development (Intro to Internet Computing - Fall 2020)
Designed and created web pages using a combination of HTML, CSS, and JavaScript.

Program Development (Data Structure/Algorithm Analysis - Spring 2020)
Designed and created C++ programs in Visual Studio involving reading, processing, and outputting records from a file.