Works in Progress

Allison Transmission Internship (Summer 2025)

I'm currently a product engineering intern working at Allison Transmission's global headquarters in Speedway, Indiana. I work on the calibration and validation team for their eGen Power line, helping tune and test fully integrated eAxles to make sure they perform correctly, efficiently, and meet regulatory and customer requirements.

iSpotiPi 🔗

Using my freetime to transform this iPod. I'm putting in my own components with the goal of making it capable of displaying data from a user's Spotify library (using the Spotify API) and allowing users to download music for playback on the iPod (using a library called spotdl). All while utilizing the iconic scroll wheel, of course. Being developed for SIGHORSE.

StandBy

More on this later this year. Feel free to ask me about it.

Past Projects

Signals in the Noise: Python Tools for Social Media Data (Spring 2025) 🔗

Signals in the Noise is a research project I worked on with Matthew N. Hannah, PhD and Madhav Valiyaparambil. A continuation of my Python for Social Researchers project, the aim of the site is to provide accessible tutorials to request social media content from APIs, clean and structure such text into data, and perform analysis of the contents. It's meant to be especially interesting to people working in digital media studies, critical internet studies, information studies, and other digital research areas.

I created codebook guides for scraping data from Reddit and Telegram, a codebook guide for exporting data to a CSV file, and developed the website using Jupyter Book.

Python for Social Researchers is a project that I worked on in a lab class called "The Age of Mis/Dis/Malinformation," taught by Matthew N. Hannah, PhD. In the first 9 weeks, we learnt about mis/dis/malinformation with a focus on the 2024 presidential election. In the second 9 weeks we transitioned to working on projects that aimed to fight the spread of mis/dis/malinfomation. My project focused on providing digestible guides for social researchers that want to use Python to enhance their ability to collect and analyze important data about the spread of mis/dis/malinformation.