Researched different machine learning models to find the most efficient models to classify abnormal from normal ECG waves using Naive Bayes and Stochastic Gradient Descent, multi classification of 5 different ECG classes using Convolutional Neural Networks and Stochastic Gradient Descent, finding the spike time on ECG activation maps, and reconstruct the entire trans-membrane potential curve using Multiplayer Perceptrons.

Developed Flash Card App where users can create new flashcards and organize them into sets to help them study for exams.Developed a forum website where users can log in, create posts, and respond to other posts.

Developed an ASL alphabet image detector using Python by creating a dataset of images using Google Teachable Machine.

Developed and designed a webpage using HTML and CSS for students to explore research and internship opportunities.

Analyzed pyrolysis images using Python to find more efficient ways to distribute heat during the pyrolysis of biochar. Reduced carbon emissions of biochar pyrolysis by 15%. Presented and won 1st Place in Ag Research Poster Symposium.