I am a computer scientist studying at the Georgia Institute of Technology here in Atlanta. I'm currently in my final year and will graduate in spring of 2021. Recently, I've spent the summer of 2019 and this summer, 2020, in San Francisco as a software engineering intern at Salesforce, where I've built Agile-focused, internal tools to increase productivity for all ~50,000 Salesforce employees. In the past, I also worked at Sequr.io, a startup in Atlanta that brings easily accessible and cloud-enabled security to modern offices. In addition to my studies at Georgia Tech, I use AI to generate and anaylze humor with Lew Lefton and Pete Ludovice as a part of the Humor Genome team.
My interests shift frequently, but generally tend around product design, user research, and software development. To sum up my interests succinctly: I want to help build things that are beautiful, helpful, and easy to use.
Some of my favorite things outside of school and work are making my own kombucha, reading sci-fi novels, and trying new recipes :)
Some recent projects I've completed, either personally or through coursework.
Predicting Soccer Match Outcomes
Soccer matches, and matches of all professional sports, are intrinsically difficult to predict. As Felipe, a colleague who helped create this project, put it, "If it were easy to predict games, then there'd be no point in playing them." Nevertheless, using different classifiers, we built several models using Python, Jupyter Notebook, and machine learning / data science libraries (numpy, matplotlib, scikit-learn etc.) to predict the outcomes of World Cup matches. Our attempts reached ~75% accuracy in predicting games. Given this was our first in-depth look into machine learning, we consider it great success.
Trends in Cinema: A Look At Hollywood Over the Years
Tracking Mental Health: A Study On Mental Wellness In Underprivileged Children
Mental health has shown an increasing acceptance and destigmatization in the past few years. However, awareness about mental health especially impacts underprivileged children who are often unaware of mental wellness as a concept and, subsequently, unable to get help. In a semester-long collaboration with the Boys and Girls Club of Metro Atlanta (BGCMA), we developed a system for BGCMA staff to track the general mental health of the children they serve. This was a foray into product design and user research that ultimately received high praise from BGCMA staff. Our final products were given to the BGCMA so that they can implement our designs into their curriculum and campus.
The Effect of Writing Medium On Learning & Retention
In recent years, electronics have surged as a writing medium for notetakers in contemporary lecture halls. In 2014, Mueller & Oppenheimer studied the efficacy of laptop notes when compared to handwritten notes. Seeing as iPads and other eWriters, devices that allow for notes to be taken electronically with a stylus, have become increasingly available and prevalent, we wanted to conduct a similar study. Using a sample of undergraduates at Georgia Tech, we studied exam performance of students who took notes on an iPad and compared it to those who took notes with pencil and paper. We found that those using iPads scored significantly higher on our in-house exam than those taking notes traditionally.