
Black Friday Discounts
Black Friday Discounts is designed to be the easiest way to find the best deals on Black Friday. I designed this website to use a headless CMS so I could update items easily, and make it so it could be used year over year.
Hi! My name is Kurt Weber—welcome to my website! I am currently pursuing a Master’s degree in Computer Science with a specialization in Machine Learning at Georgia Tech. My journey into software engineering has been anything but traditional. I earned my first Bachelor’s degree in Industrial and Systems Engineering from the University of Florida, with the original intention of going to dental school. However, during my undergraduate studies, I discovered a passion for programming through a few required courses.
In early 2022, I decided to pivot my career goals from dentistry to software engineering. I began self-teaching JavaScript and React for web and mobile development before branching into Python and C++. While self-study laid a strong foundation, I decided to pursue a second Bachelor’s degree in Computer Science at UF to deepen my knowledge and fulfill prerequisites for graduate studies. Now, as a Master’s student, I am focusing on advanced topics such as machine learning, artificial intelligence, and data-driven solutions.
Outside of my academic pursuits, I enjoy playing and watching hockey, exploring photography, and trading stocks and stock options. I am excited to continue blending my interests in finance, technology, and innovation to create impactful tools and solutions
University of Florida
B.S. - Industrial and Systems Engineering
2015 - 2020
University of Florida
B.S. - Computer Science
2023 - 2025
Georgia Institute of Technology
M.S. - Computer Science
2024 - 2026
Black Friday Discounts is designed to be the easiest way to find the best deals on Black Friday. I designed this website to use a headless CMS so I could update items easily, and make it so it could be used year over year.
Drip Finance is a full-stack web app for teacking dividend investments. Build with React/Next.js and Django Rest Framework. Users can create accounts, create dividend portfolios, and access analytics like total dividends, portfolio returns, and yearly estimates. User authentication is secured with Django and JWT. Postman was used for API testing.
Lease Limit is the ultimate companion for managing your car lease mileage. Say goodbye to unexpected overage fees and stay in control of your lease with our intuitive app. Easily track your remaining mileage, daily allowed mileage, and projected overage fees. Whether you're a meticulous planner or need quick and easy updates, Lease Limit has you covered. Take the stress out of lease management and drive confidently knowing exactly where you stand. Built using Swift, SwiftUI, and SwiftData. Utilized Apple App Store Connect for deployment and TestFlight for beta testing.
Developed a memory allocation library for Linux utilizing a dynamically allocated array and a linked list for tracking used and unused memory. The linked list stores the information about the memory blocks and the program allocates the space within the array depending whether best fit or worst fit is requested by the user upon program start.
Developed a Linux filesystem library that creates, manages, and interacts with files and directories within a WAD file. This project involved implementing file and folder creation, ensuring seamless operation with the pre-populated WAD file. Fuse integration allows the library to mount and integrate within the terminal.
Noise Maker Academy is a soundboard I made for two of my friends. This was the first mobile app I made using React Native. It also uses a headless CMS to hold all the sounds so I can add new ones I like easily (or when my friends request new ones)
Rate Rite is designed to be the fastest and easiest way to calculate a car loan. For future updates, I would like to add a PDF generator for the amortization schedule where you enter your email and it will send you the generated PDF. I have built a similar program using python already so the development should be fairly straightforward.
Project focusing on comparing a reinforcement learning stock trading strategy against a manual trading strategy and a benchmark position. Implemented a Q-learning-based trading strategy using Python, leveraging custom indicators (SMA crossover, MACD, and RSI) with discretized values to define states for the Q-table, along with buy, sell, and hold actions.
813-494-8050
kurtkweber@outlook.com
Tampa, FL