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Hi, I'm

Gage Weaver

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About Me

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Experience

Software Engineering

Machine Learning

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Education

B.S. Computer Engineering, Expected 2026

University of Kansas

About Me

Hello, I'm Gage Weaver, a Computer Engineering student at the University of Kansas with focuses in software engineering and machine learning. I'm currently working as a Software Engineer Intern at Wells Fargo, where I'm learning to plan, develop, and maintain enterprise-level software.

Machine Learning

I have a particular interest in machine learning. In order to hone this skill I have competed in various Kaggle competitions. Check out my Kaggle profile to see more of my work.

Academic Excellence

Maintaining a 3.8 GPA while pursuing challenging coursework in Software Engineering, Embedded Systems, and Physics. I've been recognized on multiple Honor Rolls and designated as a Garmin Excellence Scholar.

My Professional

Work Experience

Software Engineer Intern

Wells Fargo

Summer 2025

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Skills: Java, SpringBoot, React, MongoDB, Agile

Responsibilities:

  • Developed and maintained full-stack applications using Java SpringBoot and React
  • Worked with MongoDB databases to reliably store and retrieve data
  • Participated in the full Agile development lifecycle, including sprint planning and code reviews
  • Gained experience with enterprise-level software architecture and deployment

Impact: Contributed to a new application for Platform Engineering teams to utilize. Improving complex workflows.

Supplemental Instructor

University of Kansas

Fall 2024 - Spring 2025

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Course: Circuits 1 (EECS 202)

Responsibilities:

  • Held daily study sessions for students to review course material and ask questions
  • Provided a supportive environment for students to bring their questions and get help

Information Technology and Data Analytics Intern

Adams Brown

Summer 2024

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Technologies: DAX, Power BI, SQL, PowerShell

Key Projects:

  • Developed a key data analytics project utilizing DAX, Power BI, and SQL focused on company financials for an internal team
  • Designed and implemented automation for the onboarding process using PowerShell, completely eliminating the need for manual email signature creation

Recognition: First intern in the firm's history to be nominated for an Adams Brown One award.

Check Out My

Skills

Software Engineering

Python

Advanced

JavaScript

Advanced

Pandas

Intermediate

Java

Intermediate

React

Intermediate

MongoDB

Intermediate

Machine Learning

Intermediate

SQL

Intermediate

Power BI

Intermediate

HTML/CSS

Intermediate

SpringBoot

Familiar

C/C++

Familiar

Browse my

Projects

PeTAI Project

PeTAI

A cross-platform Personal Trainer Assistant that uses computer vision to provide real-time feedback on workout form. Built with Swift/SwiftUI for iOS and JavaScript/ML Kit for web, analyzing movement patterns to improve exercise safety and effectiveness. Winner of Pella Corporation track at HackKU 2025.

CheckYoSelf Project

CheckYoSelf

A peer-to-peer authentic items marketplace featuring 3D scanning and hologram verification. Built with iPhone scanning tools and Pinata for file storage. 2nd place at Midwest Blockathon.

PocketDJ Project

PocketDJ

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.

NBA MVP Predictor Project

NBA MVP Predictor

A Machine learning model that predicts the NBA MVP vote using historical player statistics and advanced analytics. Built with Python and scikit-learn.

Portfolio Tracker Project

Portfolio Tracker

A comprehensive investment portfolio tracking application with real-time stock data integration and performance analytics dashboard.

Get in Touch

Contact Me