About me

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.

Interests

  • Deep Learning
  • Statistics
  • Software Engineering
  • Teaching

Education

  • 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

Work Experience

 
 
 
 
 

Quantitative Analytics Specialist

Wells Fargo

Jul 2022 – Present

Building machine learning models for fraud detection.

Model Interpretibility, XGBoost, PySpark, Hadoop

 
 
 
 
 

Quantitative Analytics Intern

Wells Fargo

Jun 2021 – Aug 2021

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.

 
 
 
 
 

Research Intern

Siemens

May 2019 – Aug 2019

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 Engineer

Aptean

Jun 2014 – Dec 2016

Software Development for an ERP business product.

C#, SQL, Git

Skills

python

C

cplusplus

csharp

java

matlab

scala

mysql

bash

latex

R

haskell

docker

git

jupyter

numpy

opencv

pandas

pytorch

scikit

tensorflow

huggingface

Contact

Please feel free to reach out to me using this contact form.