WORK
EXPERIENCE

Data Scientist II - Novo Nordisk, US April 2023 - Present

Data Scientist - Conexiom, US Sept 2021 - December 2022

• Primary author of deep learning model architectures that extract structured information from documents such as invoices, and purchase orders using Graph Neural Networks

• Writing scalable production-ready code for expeditious deployment and product impact

• Learn the value of collaboration and communication!

Research
EXPERIENCE

• I worked as a Graduate Research Assistant, training in Deep Learning methods for Dyslexia Prediction from Brain MRI scans with Dr. Zijun (James) Wang, Dr. Mark Eckert & Dr. Kenny Vaden

• I did my Master's Thesis on Multiagent (Multirobot) navigation under the mentorship of Dr. Ioannis Karamouzas. We trained neural network models on various egocentric descriptors of pedestrian datasets to learn human-inspired controls for efficient mobile robot navigation in crowded scenarios.

Please view my PROJECTS page for more information on my research!

OTHER Work Experience

• Graduate Researcher - Multimedia and Bioinformatics Lab, Clemson University May 2020 - May 2021

Training Deep Learning architectures to predict Dyslexia from brain MRI data.

• Graduate Researcher - Motion Planning Lab, Clemson University June 2020 - May 2021

Training neural networks to perform collision-free locomotion in crowded environments. 

• Senior Software Developer - Capgemini India Sep 2016 - Jun 2019

Oracle Applications Peoplesoft Developer

MS COURSEWORK

• Fall 2019:

  • CPSC 6420: Artificial Intelligence

  • CPSC 6300: Applied Data Science

  • CPSC 8710: Fundamentals of Software Engineering

• Spring 2020:

  • CPSC 8400: Design and Analysis of Algorithms

  • CPSC 8430: Deep Learning

  • CPSC 6140: Human-Computer Interaction

• Fall 2020:

  • CPSC 8580: Security in Emerging Computing and Networking Systems

  • CPSC 8420: Advanced Machine Learning