College of the Holy Cross, Worcester, MA
Bachelor of Arts, Computer Science & Religious Studies, Cum Laude
GPA: 3.52/4.0, Dean's List
Graduated: May 2025
Techniques of Programming(OOP), Data Structures, Analysis of Algorithms, Databases, Programming Languages, Data Mining, Computer Systems & Organization, Discrete Structures.
I am interested in synthesizing my academic passions, Computer Science and Religious Studies, into real-world applications. Primarily, I employ real-world software solutions to effect societal and humane change. A tangible societal impetus for my work is what drives my interest in my academic disciplines.
Summer 2025 - Current
Summer 2025 - Ongoing
In tandem with Aquinas.cc, created an AI platform fostering research insights curated around the philosopher and theologian St. Thomas Aquinas. Specifically, using the Summa Theologica as a knowledge base and the AI model, Claude.
Spring 2025
Created an iOS application, Shortcut, that displays the shortest route to a desired destination. Utilized SwiftUI for the visual components native to Apple's operating system. Accessed MapKit and CoreLocation to display the shortest route, ETA, vehicle, and pinned location options.
Spring 2025
Applied Python and SQL scripts to scrape, sort, and analyze IMDb movie data. Leveraged Python's MySQL Connector and the Pandas library to access and edit the database in SQL. Employed MySQL Workbench for structuring the database and performing queries.
Summer 2024
Developed automation scripts including a PDF merger that operates without external dependencies and a weather application that provides real-time forecasts.
Fall 2023
Created a program measuring the statistics of a given data set measuring a student's academic success. Employed K-nearest-neighbor, decision trees, and random forest generator. Implemented in Python, using Sklearn, Numpy, and Pandas.
Spring 2025
Snowman is a simple hangman clone in which the user has to guess the letters of a word. When the user guesses an incorrect letter, part of the snowman is built and shows up on the screen. Picks a word at random using a dictionary of about 47,000 words, including apostrophes. The game ends when the snowman is fully built.