I am currently working as a Full Stack Web Developer at Ally Financial and have a passion for creating seamless, user-focused applications. With experience in developing and modernizing platforms for improved performance, accessibility, and user experience, I try to bring my own technical skills and a collaborative mindset to every project.
I have experience using ReactJS, Python, Java, and SQL. As a developer, i am committed to crafting useful UIs, optimizing systems, and implementing and iterating on cool and innovative solutions. My background includes working with dynamic teams in fast-paced environments and tackling challenges in web development, AI, and data-driven applications.
Below you can see some highlights of projects that I am working on currently!
RecipePlanner is a web-app designed to simplify my own meal planning and grocery shopping experience.
Planned features include creating weekly meal plans, generate shopping lists based on selected recipes, and calculating an estimated cost of the meals based on a populated list of ingredients and their costs. The app features a user-friendly drag-and-drop interface, and will feature the ability to save recipe books of custom recipes, inventories of ingredients, and saved prices.
For my University of Michigan Capstone Project, my team sought to find a way to make high-paid opportunities more attainable for those without college degrees by pointing them toward cheaper educational and certification resources. This full-stack project used the Flask framework for Python, SQLite3 for database operations, a ReactJS front-end using MaterialUI, and is integrated with OAuth2.0 to offer a Google Sign-In option.
This project uses an Neural Network to classify text inputs, outputting pages from the textbook used for my NLP class at the University of Michigan. The model has an interface designed with wxPython to allow easy text input. Content from the textbook was parsed using PyPDF2, creating a dataset of mock pages that is 28,800 datapoints long.