I work in the Autonomy Integration and Performance Team at Ford Motor Company as a part of their College Graduate (FCG) Program

I worked in the Design and Intelligence Lab on the Virtual Ecological Research Assistant Project, which uses AI to construct models of ecological systems. In my graduate degree, I continued my work from my undergraduate degree, as I designed, implemented, and evaluated software that gives personalized, intelligent feedback to learners in VERA using AI and metacognition.

In my third internship at IBM Research, I invented and patented a workflow for human-in-the-loop prompt-tuning in large-language models. For this work, I implemented a proof-of-concept using PyTorch and other deep learning technologies.

I work in the Design and Intelligence Lab on the Virtual Ecological Research Assistant Project, which uses AI to construct models of ecological systems. Previously in the lab, I performed data analysis and visualization to determine VERA user groups and patterns, and I worked on an experimentation system that allows other researchers to run experiments to discover learner patterns and behaviors. Most recently, I worked on designing and implementing software that gives personalized, intelligent… Show more I work in the Design and Intelligence Lab on the Virtual Ecological Research Assistant Project, which uses AI to construct models of ecological systems. Previously in the lab, I performed data analysis and visualization to determine VERA user groups and patterns, and I worked on an experimentation system that allows other researchers to run experiments to discover learner patterns and behaviors. Most recently, I worked on designing and implementing software that gives personalized, intelligent feedback to learners in VERA using AI and metacognition. I was granted a President's Undergraduate Research Award for my work in the lab. Show less

As a part of the Research Consulting Pillar of the AI Platforms Department, I implemented an application in Node.js that displays interactive, graph-based representations of data center configurations. I also utilized intelligent optimization algorithms to identify and solve issues in data center configurations, and I have filed a patent for this technology.

In my first internship at IBM Research, I created an API and user interface to determine the resale value of vehicles. To determine this resale value, I performed data analysis, including using unsupervised machine learning, on vehicles' log data. On this project, I worked directly with a client for a large vehicle manufacturing company. The technologies I used were Node.js, MongoDB, and Linux.

At UpperCampus, I wrote various software that aided with business processes as well as the product itself. For instance, I automated the process of content editing and the tracking of people's hours for payroll. I also implemented a gamification system for the app using Node.js and a PostreSQL database.