• Helped simplify challenging course material into much more manageable simpler concepts.

• 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.

• Utilized course registration and student data to determine what students were most likely to drop out of the Computer Science program.

• 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.

• Designed to run on a Tivia C microcontroller.

• 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.

• Used Scrum to improve machine learning-driven clothing suggestion within an iOS application.

• 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.