Robust machine learning and artificial intelligence solutions.
Tailored, dynamic, and innovative software products.
A unique, diverse, and skilled perspective to achieve your goals.
Google Coral Accelerator
Jetson Nano / TX1 / TX2
Amazon Deep Lense
iOS Core ML
Python (Scapy, Socket, libnmap)
USB Rubber Ducky
Digispark Development Board
Raspberry Pi Zero / Zero-W / 3 / 4
NGINX & Apache
Google Firebase & MongoDB
Linux, MacOS, Windows
Android & Wear OS Application Development
React Native Application Development (iOS and Android)
Visual Studio Code
Slack & Discord
Amazon Web Services (AWS)
Docker & Kubernetes
Github & Bitbucket
JIRA & Project Libre
DBeaver & MySQLWorkbench
Ubuntu & CentOS
Bash Scripting & Regular Expressions
I am currently studying at the University of South Carolina Honors College and am pursuing a dual Bachelor of Science in computer science and mathematics.
For secondary school I attended Stonington High School.
Research Associate, University of South Carolina Aug 2019 - Present
Researching and developing a novel technique, coined as PaKD Model Compression, for multi-stage compression of deep neural networks through pruning and knowledge distillation. Almost everyone today uses a smart mobile phone that they carry with them at all times. The ability to run powerful artificial intelligence (AI) technologies on our phones would revolutionize the world and equip mobile devices with an increasing amount of functionality. However, we do not want AI technologies to drain our battery and require us to charge our phones multiple times per day in order to run them. Our project will reduce the work needed to run AI technologies and enable them to be run on devices constrained by battery, power, and storage, like our mobile phones.
Engineering Intern, KVH Industries May 2019 - Aug 2019
Created new software features for military tactical navigation system.
Software Engineer, Voxion May 2019 - Present
Developed machine learning algorithms to intelligently map user requests to intent handling logic within voice applications, generated by Voxion, for the Google Home and Amazon Alexa platforms.
Intern, Swampfox Technologies Jan 2019 - May 2019
Evaluated Spring REST and SOAP API security (via penetration and stress testing), explored AI/ML for optimizing customer call back time estimation, and developed a custom OAuth2 authentication system to protect the REST web application API and integrate with existing customer SSO solutions.
Research Assistant, University of South Carolina Sep 2018 - May 2019
Used smart watch technology and artificial intelligence to perform activity recognition. Lead a team to create a standalone sensor collection and gesture classification application for a Wear OS watch. This application was optimized for long running operation and was successfully able to collect accelerometer data at 25 hz for 14 hours and run an artificial neural network to analyze the data and detect smoking gestures. Additionally, developed a companion Android mobile phone application to receive collected watch data over Bluetooth and transmit the data to Google Firestore and a hosted LAMP server. This application is in the process of deployment to participants in a smoking study at the Arnold School of Public Health at the University of South Carolina.
Business Technology Scholar, Pfizer Jun 2018 - Aug 2018
Individual Exploration 2012-2018
I have always been an insatiably curious person that loves to learn. From 2012 to 2018 I absorbed everything I could about computers through reading books, research papers, blogs, YouTube, online documentation, MOOCs, Github, and the MIT Splash Program.