University of Massachusetts: Lowell
During my time at UMass Lowell, I pursued a dual degree in Mathematics and Computer Science. The intersection of these fields is what sparked my interest in machine learning and mathematics. I began with curiosity within interpretability research using Topological Data Analysis and pursued this into a
research assistant position with Dr. Tibor Beke. I then began working with Dr. Ahmadzadeh on
multi-agent reinforcement learning and persistent autonomy in robotics. I am very curious about agents and their interaction with the world.
Aug 2023 - May 2024
Research Assistant, UML Pearl Lab
Trained and analyzed open-source multi-agent reinforcement learning algorithms focused on persistent autonomy in robotics with Pytorch and Tensorflow.
Jun 2023 - Aug 2023
Machine Learning Engineer, DoD NSIN X-Force
Assigned to Georgia Tech Research Institute: CIPHER Division as part of Department of Defense - National Security Innovation Network's X-Force Program. [Deep learning, Graph neural networks]
Sept 2022 - May 2023
Software Project for Schneider Electric
Researched cryptographic algorithms, analyzed secure communication on Secure Element with Raspberry Pi, and tested methods on the company's control system units.
Aug 2022 - Apr 2023
Honors Fellowship, Dr. Wang
Utilized mixture models in conjunction with supervised learning models for predictive modeling of mental health.
