Jack Bodine
Artifacts are tangible pieces of evidence demonstrating the skills and knowledge I’ve acquired from various learning experiences. Links labeled “currently unavailable” indicate either that I haven’t gotten around to publishing it or that the project contains exam/coursework which must remain private for furture iterations of the course. However, if you email me, I’ll try to expedite it.
March 2026
Self-Hosted Short Form Video Full Stack Project
Independent Project
This project is a self-hosted short-form video client I built to replace corporate-owned apps like Instagram Reels. I wanted complete control over the algorithm and the content. The objective was to turn an addictive infinite feed into something that feels more healthy and productive. The backend is written in Python using FastAPI and SQLite, and uses ffmpeg to process scraped media into encrypted HLS streams. For the frontend, I developed a native iOS app using SwiftUI and a pool of AVPlayers. This project eventually turned into three blog posts, available on this site, which describe the implementation details of the project.
iOS Development, Swift, Python, Project Management
September 2024
NLP Toolkit
Natural Language Processing
This NLP toolkit was made to implement various concepts from my NLP course. It includes n-gram models, logisitc regression classifiers, and sequence labeling models.
Natural Language Processing, Python, Machine Learning
May 2023
Processing Art Projects
Art of Code
At my university, Art of Code was registered as an art class rather than a computer science class. This course taught me to apply my programming skills in a creative medium. Using Processing in both Python and Java, I created several art projects that showcase the unique intersection of coding and art I explored during this course. These projects illustrate how programming can be used as a tool for artistic expression.
Art, Python, Java
May 2022
Movie Analytics Project
Computational Analysis of Big Data
“Computational Analysis of Big Data” focused on methods to handle and analyze large datasets to extract meaningful trends and insights. As part of a project, I worked with two other students to scrape movie data and analyze metrics such as the most successful director/actor combinations. This project utilized tools like Pandas, NumPy, and Streamlit, demonstrating our ability to work with big data and perform complex analyses.
Python, Data Analytics