I am pursuing my Ph.D. in Computer Science (CS) from George Mason University(GMU), Virginia. I graduated with my Bachelor's and Master's in Computer Science from the Volgenau School of Engineering at George Mason University. I joined GMU's Ph.D. program in Fall 2021 and am currently working in the SAGE lab advised by Dr. Kevin Moran. My research is focused on using machine learning techniques to create developer tools that allow developers to create more accessible software.
Certifications: Stanford Machine Learning
Interests: Photography, Golf, Basketball, Football (NFL), and Formula 1
My current research project is a Systemic Literature Review that aims to examine both end-user facing, and developer-facing tools for facilitating access and use of traditional software systems (e.g., web/mobile/desktop) to various populations of users with disabilities.
AWS Sagemaker/EC2 92%
Apache Spark 85%
C & C++ 85%
- Worked on a Multi-Disciplinary team with researchers and surgeons that worked to prototype a surgical voice assistant
- I worked to create the voice assistant’s wake word using a Tensorflow Convolutional Neural Network.
- Got a wake word model working with 80% accuracy with limited data.
- Worked with AWS S3 and Sagemaker for all storage and computation.
- Used machine learning to cluster air pollution data to extract different air pollution contributors
- Created a regressive prediction model to predict COVID-19 mortality rates based on air pollution.
- Worked with the health departments to create meaningful data interpretation on traffic-related air pollution
- Created an Application for Hospitals to track patient data and give doctors the ability to communicate with patients
- Developed APIs to track calls, requirements, and patient-to-doctor communication. Used Node Js.
- Used MongoDB for Development Environment and deployed onto AWS
If you've made it this far, let's talk and get things rolling! Hit the big button to the right.