Found and fixed bugs in code across many disciplines including; Python, JavaScript, HTML, CSS, MongoDB, SQL, Flask, and FastAPI.

Assisted students when needed to deploy RESTful APIs, WebSocket Connections, User Authentication, Docker Containers, and live websites on Digital Ocean Droplets.

Cleaned and processes large raw dataset into data suited for machine learning models.

Built visualizations tools to show the drop, resign, fail, and withdraw statistics for ethnic and gender subgroups within the data.

Collaborated with researchers from the New York University to develop University interventions to help retain students.

Made use of memory mapped IO and interrupt handlers to receive input from user and update the game each frame.

Built a random number generator to assign the bricks with a random color.

Used ANSI Escape sequences to manipulate the terminal cursor and change foreground/background colors.

Performs image processing to identify specific clothing items, and the patterns on these clothes.

Connects clothing items to similar items available for sale in-app.

Updated product is available for download on the Apple App Store since December 2022.