Code for the team DMV's Finest in the 2023 IMC Prosperity quantitative trading competition (placed 28th out of 7000 teams).

Code for "Sentiment Sensitive Debiasing: A Learning-Based Approach to Remove Ethnic Stereotypes in Word Embeddings" [Durai et al.]

Code I wrote for TJHSST's Computer Vision 1/2 courses, taught by Mr. Emil Jurj, in the 2021-2022 school year

Code for "Cross-Dataset Evaluation of Multimodal Neural Networks for Glaucoma Diagnosis" [Das et al.]

Code for "Spatially Transformed Capsule Networks" [Vasantharao et al.]

TJHSST Essay Grader: Automate the objective aspects of essay grading.

TJHSST Machine Learning First Semester Project: A Novel Ensemble Learning Approach for the Classification of Eye Movements While Reading Using Tree-Based Models

Code I wrote for TJHSST's Artificial Intelligence 1/2 courses taught by Dr. Peter Gabor

Compiler and language specification for the Vitesse programming language.

Various websites/webapps I've written

Source code I wrote in 2018 for Harvard's CS50x course.

Parental location tracker app that I made in 2019.

A chatbot made with an LSTM model based on Keras' seq2seq functionality.

A collection of machine learning algorithms that I made from scratch (except for the SVM algorithm).