Software Engineer Intern

Computer Science student at the University of Georgia

Sophomore bachelor's candidate learning software development, algorithms, and systems while preparing to launch a tech career.

Work samples

Portfolio of class projects and personal work that demonstrate programming, algorithmic thinking, and software fundamentals from my studies.

  • Cafe Forecasting Case Competition
    Cafe Forecasting Case Competition

    Built a scenario-based demand forecasting model for a 20-café network combining seasonal demand indices, day-of-week patterns and local-event adjustments; ran sensitivity analysis on key assumptions and recommended a unified demand planning framework, presenting to PwC professionals as part of a team of 6.

About me

Sophomore bachelor's candidate learning software development, algorithms, and systems while preparing to launch a tech career.

I am a sophomore Computer Science student at the University of Georgia pursuing a Bachelors degree. I have limited professional experience and am preparing to start my career in software and computing fields.

Experience

Legal/AI Extern

The Home Depot · September 2026 - Present

Research Assistant

Endangered Languages In Contact · January 2026 - Present

Assessment Development Intern

Prometric · June 2026 - August 2026

Software Engineer Intern

Roku · December 2024 - July 2025

Education

University of Georgia, Morehead Honors College, Athens, GA

Bachelor of Computer Science, B.S.; Bachelor of Linguistics, A.B.; Spanish Minor · Class of 2028

Skills

Programming fundamentalsAlgorithms and data structuresObject-oriented programmingProblem solvingSoftware development basicsLinux and command line familiarity

Cafe Forecasting Case Competition

Built a scenario-based demand forecasting model for a 20-café network combining seasonal demand indices, day-of-week patterns and local-event adjustments; ran sensitivity analysis on key assumptions and recommended a unified demand planning framework, presenting to PwC professionals as part of a team of 6.

View all work

Natural Language Processing with Classification and Vector Spaces

Built and evaluated a binary classifier for text data using Logistic Regression; utilized Python to construct and visualize word frequency matrices and multi-dimensional feature spaces.

Python
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