Computer Science · University of Central Florida
Senior at UCF building systems, machine learning, and high-performance software, from parallel C++ classifiers to multi-agent AI tools and geospatial web apps.
I'm a senior studying Computer Science at UCF in Orlando, Florida. Growing up I watched my brothers study Computer Science and Electrical Engineering and knew I wanted to contribute meaningfully to the world around me through technology.
On the technical side I'm interested in systems programming, machine learning, and high-performance computing. In Spring 2025 I researched parallel TF-IDF text classification in C++ (see Projects). Last summer I interned at Urban Sky in Denver as an AI Systems Intern, where I built and deployed a conversational multi-agent system that lets non-technical teammates query manufacturing data and generate reports.
Outside of engineering I'm passionate about strength training and personal development. The discipline I bring to the gym carries over into my work: consistent, methodical, and focused on continuous improvement. I hope you enjoy my site :)
Denver, CO
Pick a folder to open it. Arrow keys flip between projects.
A server and load balancer built from scratch in C++. It currently supports least-connections round robin distribution with limited capabilities, and is being extended to cover the full set of least-connections and round robin features.
An interactive web map that visualizes public incident data from the Lee County Sheriff's Office. Incidents appear after a 48-hour delay per public records policy, letting residents explore local activity by location and incident type.
A multithreaded TF-IDF vectorizer and text classifier written in C++. It computes TF-IDF scores across a training corpus, sorts documents into categories, then classifies unseen documents using cosine similarity (0.8 trained : 0.2 un-trained ratio). The first multithreaded TF-IDF implementation for efficient text classification in C++.
A Python command-line toolkit that automates removing likes, comments, reposts, and similar
activity from social media accounts, helping reset a feed's recommendations. It supports
saved Instagram cookies for later and headless logins, and reads credentials from a
.env file. The project has tests, and I'm currently writing Selenium tests.
Strongest Comfortable Familiar
Open to internships and full-time software/systems engineering roles. Say hello!