Mathematical Property Algorithms
My research at the FSU Department of Psychology centered around removing participant biases from our experiment results by doing in-depth data analysis on respondent datasets. The goal was to determine if and how people use the properties of math when completing math problems.
I never finished the project, which I immensely regret. It was my first long-form software engineering project. Each property was written with a different method, from BET navigation to string processing. It taught me to research the correct tools for the job and how to write a half-decent algorithm.
Short-Form Video Creation Pipeline
Python pipeline that converts Reddit stories into fully-captioned YouTube Shorts: it scrapes posts with PRAW, trims the script with GPT-4o, generates voice-over in ElevenLabs, aligns word-timings via WhisperX, and stitches everything together with FFmpeg into a ready-to-upload 9:16 video.
My goal was to do as little as possible, while uploading as much as possible. This pipeline achieved exactly that.
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C# Webapp Implementation
The resulty of the entirety of my Introduction to C# course, the TaskManager Application provides a full User Interface written in Xamarin.Forms for local user interaction with a WebAPI.
The WebAPI is written using the .NET framework and locally saves inputted tasks to a JSON file for persistent usage of the API.
SVM Classifier Without sklearn
My Machine Learning course at school tasked us with creating a support vector machine from scratch that would draw the most precise line separating two overlapping datasets.
By far the most challenging project I worked on during college, I learned a great deal about supervised machine learning algorithms.