Gage Weaver
Software Engineer. Focused on Applied Machine Learning and Full-Stack Development.
My Trajectory
Software Engineering Intern
June 2025 — August 2025Wells Fargo
Engineered full-stack applications utilizing Java, Spring Boot, and React. Collaborated in an Agile environment, contributing to code reviews and sprint planning. Shipped a project improving observability for Platform Engineering Teams.
IT / Data Analytics Intern
June 2024 — August 2024Adams Brown
Designed data analytics projects in Power BI, utilizing DAX and SQL to create interactive dashboards. Developed a project focused on automated onboarding, which eliminated manual email signature creation.
Selected Projects
P2P marketplace for authenticated items. Featuring 3d scanning, AR viewing, and hologram verification. Built with iPhone scanning tools and Pinata for file storage. Awarded 2nd place at Midwest Block-a-thon
Cross-Platform person trainer assistant using computer vision to provide real-time feedback on workout form. Built with Swift for iOS and Javascript/ML Kit for web. Winner of Pella Corp. Track at HackKU 2025
A web app and Adobe Express add-on that utilizes sentiment analysis to find the perfect song to match a picture. Winner of "Most Creative Adobe Express Add-On" at HackKU 2024.
GPU-Accelerated Catboost model built to classify potential mental health conditions from survey data. Achieving a ranking of 7th out of 2600+ and an accuracy of over 94%.
Areas of Focus
Enterprise Java Ecosystem
Professional internship experience focused on the Java ecosystem. Worked on building and scaling services using Spring Boot and MongoDB for flexible data storage, paired with React for front-end implementation.
Applied Machine Learning
Active participant in Kaggle competitions with a primary focus on tabular classification and NLP. Experience includes projects in Computer Vision and Sentiment Analysis, currently preparing for a Master’s degree to further my skills.
About Me
Beyond the Code
I am currently pursuing a degree in Computer Engineering at the University of Kansas, with an expected graduation date in May 2026. During my final semester, I am working on an AI powered vending machine, as well as exploring studies on deep reinforcement learning.
When I'm not coding, I'm either looking at car auctions I can't afford or cleaning my sneakers. On the weekends I like to watch Formula 1 (Go Weeyums!)
// Personal.log
- LocationLawrence, KS / St. Louis, MO
- HobbiesF1 / Sneakers / Coffee
- Favorite SongAmerican Wedding - Frank Ocean
"Attention to detail is the difference between a project and a product."
Contact Me
gage.weaver711@gmail.com
linkedin.com/in/gage-weaver
GitHub
github.com/gage-weaver
© 2026 Gage Weaver