Hi! I'm Owen, a Computer Science student in Indiana University Bloomington's 4+1 BS/MS program (concentrated in artificial intelligence) with a minor in data science. I'm passionate about software engineering, web development, artificial intelligence, and machine learning.
I currently serve as President of Google Developer Student Clubs @ IU, help organize the Luddy Hackathon, and lead initiatives that connect students with technology and innovation opportunities.
Outside of school, I've gained valuable industry experience as a Software Engineering Intern at commerce startup Shopwave in London and at Sallie Mae in Indianapolis. I'm also currently working as an Undergraduate Instructor for Intro to AI, helping students develop foundational skills in the field.
When I'm not coding, I love to cook, play guitar, go on hikes, and explore new music. I'm pursuing a Certificate of Rock Music History through IU's Jacobs School of Music, and I'm always on the lookout for new travel adventures with a goal to visit every continent in my lifetime. This summer, I'll be joining Charles Schwab as a Software Engineering Intern in Austin, TX!
AI-powered environmental chatbot built with a LangChain agent and local Llama 3.2. Uses three real-time tools — RAG over EPA/Energy.gov sources, live air quality data via WAQI, and carbon emissions estimation via Climatiq — to ground responses in actual data instead of hallucinations.
Mixed-methods research analyzing Reddit discourse around AI-generated books and their impact on digital literary culture. Uses LDA topic modeling via MALLET and VADER sentiment analysis to surface community attitudes, paired with qualitative close reading. Conducted under Dr. Yuerong Hu and submitted to the Digital Humanities 2026 conference in Daejeon, South Korea.
Full-stack web app integrating Spotify API and OpenAI to generate dynamic playlists based on user prompts and listening preferences.
CNN model with transfer learning to distinguish invasive vs. non-invasive plant species in Indiana, supporting local conservation efforts.
Machine learning model to predict NCAA basketball tournament outcomes using historical data and team statistics.
Data analysis project exploring music trends and patterns in Bob Dylan's "Blood on the Tracks" using machine learning techniques on audio features and metadata.
Chrome extension that enhances readability by emphasizing key text for better focus and comprehension.