I am a PhD Student at Florida Atlantic University studying Computer Science, currently working for the Navy as a Computer Scientist where I participate in the software development of training systems. I also have a side interest in fitness and athletics. I am a certified personal trainer, yoga instructor, and athlete on collegiate and international teams. My main career and research interests are in Data Science and AI.
April 2024 – Present
Microsoft Teams, MATLAB, SysML, HyperV, Red Hat Linux
Develops software to detect underwater acoustic phenomena within a Navy anti-submarine warfare training simulator.
Utilizes a virtual machine installation of the Navy ASW trainer to generate and perform analyses on acoustic data.
Participates in training system cold starts, system model reviews, and software requirement document reviews.
May 2023 – September 2023
Microsoft Teams, Python (SKLearn, Numpy, Pandas, Matplotlib), Jupyter
Experimented with AI approaches to improve performance in UAV target motion analysis.
Generated scenario datasets using a Navy UAV simulator and trained models to predict target range and optimal vessel maneuvers.
July 2022 – May 2023
Microsoft Teams, Python (Numpy, Pandas, Matplotlib), Jupyter, Bash, Slurm, HPC
Evaluated methods to optimize the video coding for machines (VCM) standard adopted by MPEG.
August 2023 – August 2024
Provides one hour yoga class instruction for groups of 20-30 students.
October 2022 – January 2024
Performs fitness consultations, personal training sessions, and workout programming to individual clients.
Languages: Python (Numpy, Pandas, SKLearn, Matplotlib, Keras, TensorFlow, NLTK) |
MATLAB | Git | Bash | Slurm | C++ (Crypto++, NTL) | Java (OpenNLP) | HTML | CSS | JavaScript | C | SQL
Tools: Visual Studio Code | Cameo Systems Modeler | Simulink | GitHub | Microsoft Office |
LibreOffice | WEKA | Eclipse | Code Composer Studio | Brackets | MySQL | HPC | Violet UML |
Apache NetBeans | Microsoft Teams | Jupyter Notebooks | VirtualBox | Google Colab | Jira | GIMP | Shotcut
Certifications: DoD – Secret Security Clearance | DeepLearning.AI – Deep Learning Specialization (In progress) |
DAU – Engineering Technical Management (In progress) | OMG SysML Level 1 & 2 (9/27/2024) | Mathworks – MATLAB Fundamentals (4/29/2024) |
Mathworks – Simulink Fundamentals (5/7/2024) | NAI – Intellectual Property Certificate (1/18/2024) |
NSF – Graduate Traineeship in Data Science Technologies and Applications (8/8/2023) | Kaggle – Intro to Machine Learning (4/7/2022) |
Kaggle – Python (1/14/2022) | Kaggle – Pandas (1/30/2022) | Yoga Alliance – RYT 200 Hour (12/10/2023) | AHA – CPR/AED (3/5/2022) |
NASM – CPT (6/26/2022) | ARC – Shallow Water Lifeguard CPR and First Aid (12/30/2022)
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.
Digital Image Processing | Computer Data Security | Data Mining and Machine Learning |
Reinforcement Learning | Software Engineering | Computer Performance Modeling | Practical Aspects of Modern Cryptography
| Advanced Internet Systems | Natural Language Processing | AI in Medicine | Deep Learning | Information Retrieval
| Artificial Intelligence | Intro to Data Science | Computational Foundations of AI | Object-Oriented Design and Programming
| Principles of Software Engineering | Engineering Design | Intro to Artificial Intelligence | Python Programming
| Computer Operating Systems | Intro to Data Communications | Intro to Database Structures
| Design/Analysis of Algorithms | Form Lang & Auto Theory | Intro to Internet Computing
| Intro to Microprocessor Systems | Stochastic Models for CS | Data Structure/Algorithm Analysis
| Introduction to Logic Design | Foundations of Computer Science | Introduction to Programming in C
| Introduction to Program Logic | Microcomputer Applications
April 2024 – August 2024
Awardee for the DOD SMART Scholar program which funds distinguished students involved in federal employment.
Fall 2023 – Spring 2024
Served on a board comprised of students and FAU faculty managing all campus recreation activities and budget.
Fall 2022 – Present
Assisted in the management and oversight of all sport club programs at FAU. Increased the sport club program budget
by approximately 50% through the usage of university reimbursement programs.
Fall 2022 – Present
Manages all activities for the FAU Cheer Club. Achieved 5th place at the 2024 and 2023 College Cheer Nationals.
Fall 2022 – Spring 2024
Coordinated all club processes for the FAU Weightlifting Club including club formation and official registration.
Summer 2022 – Fall 2023
Participated in an NSF funded cohort of graduate students that engage in academic research and entrepreneurship.
Fall 2021 – Fall 2023
Completed an NSF funded program to introduce distinguished students to careers and education in AI.
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