Kelynn Nowakowski

Kelynn Nowakowski

I am about to complete my MS in Human Language Technology from the University of Arizona. My experience includes a wide range of NLP topics; gained from both academic projects and practical applications.

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Generative AI Course Description Project

This was a project I worked on as part of my internship at EdPlus at ASU. The task in this project was to create a small POC, where the goal was to attempt to use course syllabi as input, and then use generative AI (openai in particular) to generate new course descriptions for ASU Online courses. This was the project I spent the majority of my time during my internship working on, as it was a complex project that involved many iterations and using openai to accomplish different types of NLP tasks. These tasks included using openai to extract information, summarize texts, and generate new texts based on specific prompts and rules.

Retrieval-Augmented Generation (RAG) for EdPlus Guru Data Project

This was a project I worked on as part of my internship at EdPlus at ASU. The task in this project was to set up a RAG system to handle ASU Online data that lives in Guru that the Success and Enrollment Coaches use, so that they could ask questions and get answers. The main NLP tasks this project relates to is question/answering and information retrieval, and I was able to use Python’s openai library to accomplish much of it.

Automated Tool Assessment Project

This was a project I worked on as part of my internship at EdPlus at ASU. The task in this project was to use AI to fill out a “Tool Assessment” form that currently needs to be filled out manually. I was able to accomplish this using web scraping, setting up RAG, and using Python’s openai library to generate the answers to the questions in the form. The main NLP tasks this project relates to is question/answering and information retrieval.

Sentiment Analysis Using PyTorch Project

This was an open-ended project assigned as part of my Master of Science (Human Language Technology) program, in the class Advanced Statistical Natural Language Processing. It had the goal of experimenting with and learning about neural networks. The task I chose was to investigate doing a sentiment analysis on a real-world dataset that I found online. I chose this task because sentiment analysis is an important NLP task, since it can help companies understand what their customers are saying about them, and where they can make improvements.

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