Computer Science Student at Rider University
I am a Computer Science student at Rider University (Class of 2027) specializing in Software Engineering with a minor in Cybersecurity. I have experience building full-stack web applications using Flask and performing data analysis with Python and Pandas.
Currently, I am looking for opportunities to apply my skills in software development and data structures. My background includes leadership experience with Sigma Phi Epsilon, where I managed large-scale community service events.
Rider University | Concentration in Software Engineering
Developed the Sigma Phi Epsilon Chapter Management App using Flask & Python.
Authored "Beyond Moore's Law," analyzing multithreading performance strategies.
Sigma Phi Epsilon | Managing academic resources and community service for the chapter.
A Deep Learning model using PyTorch to detect malicious files. Built a neural network to classify files based on extracted features with high accuracy.
A full-stack Flask web app for Sigma Phi Epsilon to manage member data and service hours. Features secure role-based login and automated CSV parsing with Pandas.
Python research tool calculating prime numbers using varying thread counts to analyze CPU utilization. Achieved a 73.5% reduction in execution time using parallel computing.