Good evening everyone, my name is Xavier Rogers. I am currently a 4th-year computer science major concentrating in AI, Robotics, and Gaming with a minor in mathematics at the University of North Carolina Charlotte. After graduating, I will be working at Amazon Web Services (AWS) as a Solutions Architect in Austin, Texas.

In tandem with my studies, I am also the Founder and Owner of WhatsTheWord, LLC. I am building a college social app, WhatsTheWord, which is meant to bridge the gaps between college students and student networks through the use of:

• Personalized news feeds.
• Lounge rooms where students can chat and post content to each other.
• A buzzing events feed where students can see the latest events happening on campus.

For more information about WhatsTheWord and to sign up for the prelaunch, please visit whatstheword.live and sign up for early access via the email signup at the bottom of the site or by clicking the "Get Early-Access" button.

I am well-versed in Amazon Web Services (AWS) tools and technologies, with expertise in cloud solutions, deployment strategies, and architecture design.

As part of my internship, I designed and implemented an AWS CodePipeline that simplifies the process of uploading container products to the AWS Marketplace. Using AWS EKS (Elastic Kubernetes Service) and AWS CloudFormation, I developed infrastructure templates to automate pipeline creation for customer use. This project provided valuable experience in cloud automation, infrastructure as code (IaC), and deploying containerized applications within AWS services.

Key Skills: Kubernetes · Amazon EKS · AWS CodePipeline · AWS CloudFormation

I am currently working on WhatsTheWord, a live-service social media app that bridges the gap between students and their campus networks.
The app provides:

• 📃 Personalized News Feeds for updates tailored to user interests.
• 💬 Lounge Rooms where students can chat and collaborate.
• 📅 Live Event Feeds to keep students informed about campus happenings.

Built with React Native, JavaScript, Firebase, and Expo Go, this app aims to enhance student engagement and connectivity.

In this project, I implemented two neural networks, a Regressor and a Classifier, to analyze the Boston Housing dataset.

• The Regressor predicts the median value of owner-occupied homes (in $1,000s).
• The Classifier performs multi-class classification to predict digits from 0 to 9.

This experience strengthened my understanding of machine learning techniques, data preprocessing, and neural network architecture.

Key Skills: Scikit-Learn · Pandas · Neural Network Design & Training

Note: The stats below reflect activity from my public repositories only and do NOT include private contributions.

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