CS 251: Data Structures and AlgorithmsCS 182: Discrete Mathematics

Working on Research on the Interpretability of AI with Dr. Pengyi Shi-Built and trained machine learning models including Neural Networks, Random Forests, and Logistical Regression to predict the probability of recidivism based on certain parameters with an accuracy of 75%-Currently working on deploying various interpretability models including SHAP, LIME, etc. to find the relationship between features and prediction

Worked with Dr. Lu to find ways to improve music transcription methods-Researched alternatives present in the market and their accuracy-Worked on scoring model for Music Transcription

Worked on creating workflows to assist company operations and products- Created tools to increase marketing outreach by aiding the flow of information- Worked on finetuning AI models (including Classification Models and Stable Diffusion Models) for various products