Education

Drexel University - Bachelor of Science in Computer Science, 3.33 GPA
Concentrations: Artificial Intelligence, Software Engineering
Expected Graduation: June 2026

Professional Summary

Computer Science major at Drexel University with concentrations in Artificial Intelligence and Software Engineering. Passionate about solving real-world problems through intelligent, scalable systems. Experienced in backend development, collaborative software design, and building practical solutions. Strong communicator and dedicated team player committed to continuous learning and innovation.

Technical Skills

• Languages: Java, Python, C#, C, C++, HTML, CSS, JavaScript, Latex
• Tools/Frameworks: Git, Flask, PyTorch, NumPy, Visual Studio Code, Microsoft Office, StarUML, Jira
• Concepts: Agile, OOP, Machine Learning, Data Structures & Algorithms

Experience

Desktop Support Intern – Day & Zimmermann
September 2024 – March 2025
• Wrote over 15,000 words of documentation for future members of the Desktop Support team
• Assisted hundreds of clients with software and hardware issues both remotely and in-person
• Collaborated with other teams in the IT department to fix both isolated and wide-spread problems
Technologies used: Microsoft Teams, Service Now, Confluence, Endpoint Central, Carbon Black, ZScaler, Windows

IT Helpdesk Coordinator – University of Pennsylvania Dental Medicine
April – September 2023
• Communicated effectively with team members using Slack to address small and large-scale problems
• Assessed and troubleshot computed problems brought in by teachers, students, and other faculty
• Maintained upkeep of computers, classroom equipment, printers, and important equipment on the dental floor
Technologies used: Slack, Confluence, Zendesk, Windows, Apple

Youth Instructor – Brooklyn Bouldering Project
July - September 2022
• Mentored a wide variety of ages and skill levels in rock climbing
• Created and implemented different lesson plans to teach a range of technique and skill
• Communicated with team members to ensure a productive and safe environment

Projects

DermaScope – Group Project for Philly Codefest 2025
• Trained a PyTorch Resnet-18 Model using 10,000 images to classify 7 different types of skin lesions
• Leveraged gradient descent and cosine annealing over 50 epochs to achieve an accuracy of ~88%
• Developed a web app using FastAPI to receive user images and produce model predictions in real-time
Technologies used: Python, JavaScript, PyTorch CUDA, FastAPI, matplotlib, OpenAI, Python venv, Git

Nebula Nonsense – Secret Santa Game Jam 2023
• Scripted core gameplay mechanics for a 2D bullet hell in Unity, including player movement, enemy AI, and responsive UI
• Implemented dynamic enemy bullet systems using classes with various configurable attack patterns and behaviors