Hello and thank you for visiting my website. I am currently working as a Quantitative Analytics Specialist at Wells Fargo where I am responsible for building machine learning models for fraud detection. I joined Wells Fargo in 2022 after finishing my PhD in Computer Science from UNC Charlotte.
I am broadly interested in Deep Learning and have had the opportunity to hold teaching roles for Computer Vision and Machine Learning courses at UNC Charlotte.
I have worked on a few research topics such as few-shot learning, meta-learning, link prediction using knowledge graphs and pruning of transformer models.
Ph.D. in Computer Science
University of North Carolina at Charlotte
M.S in Computer Science
University of North Carolina at Charlotte
M.S in Statistics (Tentative)
North Carolina State University
Building machine learning models for fraud detection.
Model Interpretibility, XGBoost, PySpark, Hadoop
Developed a new method for compressing the size of large natural language models based on the transformer architecture. Link to the paper.
Natural Language Processing, Large Language Models, Model Compression.
Developed a new method for generating graph embeddings for faster link prediction in graphs. Link to the paper.
Link Analysis, Machine Learning in Graphs, PyTorch
Software Development for an ERP business product.
C#, SQL, Git