Quinn Goldstein

I am a member of Seattle U’s Hui O Nani Hawaii Club and its ACM Club. In my course work, I have studied data structures, databases, object-oriented programming and design, machine learning, UX design, cyber security concepts, and artificial intelligence. As part of my senior year, I worked on a project with a Seattle-based start up company. More information on that can be found below, or you can reach out to me. I have primarily worked with C++, C#, and Python in these courses. My cumulative GPA is 3.834.

In my final quarter at Seattle University, I took on a position of being a grader for CPSC 3200, the university’s object-oriented programming course. This is a junior level course. I graded student programs based on their design of classes and ability to execute as outlined by the professor. These programs were written in C++ and C#. Working with a group of four other graders, we also considered adjustments to the professor’s rubrics if we saw change necessary.

As part of my senior year at Seattle University, I was part of a yearlong course to work on a software development project in collaboration with a local start up founded by a Seattle U alum. Votegrity is a company that hosts elections both digitally and on paper for private groups like homeowners’ associations and workers’ unions. My team was tasked with implementing new features for voters’ ease of access to their ballots. We added unique tokenized links for users to bypass the manual login process and implemented text notifications for both ballot openings and for election results. My team was proud of our work and I am happy to say that our code was moved into production upon handoff with the company.

Following my junior year, I interned with Expedia Group as a software development engineering intern and worked with a team of front-end and user experience engineers to support other teams. In my experience, I worked with React, TypeScript, and a small amount of GraphQL. I collaborated with an intern on another team to fix front-end bugs on various components in React. These bugs mostly involved accessibility issues like screen readers failing or language errors. Throughout my ten weeks in the program, I worked on a research project to investigate version updates to the company’s codebase and consider alternatives to company norms.

I worked at a school during the COVID-19 pandemic and was able to give back to my community as I attended this school in my youth. I conducted daily sanitization of high-touch areas like playgrounds and eating areas. I also helped to direct traffic during high-volume times like pickup and dropoff for students as well as help with projects around campus like plant tending and classroom setup for teachers.

I worked with the head local newspaper to compile statistics from college sports on a weekly basis. I conducted this individual work remotely and met deadlines for my supervisor. While I mostly wrote weekly short sections, I was able to write my own article after conducting an interview with an athlete. This article is available here.

Working in a group of four, my team used Figma to develop a prototype of a mobile app for Seattle University students to reserve study rooms on campus. The idea came about when one of my team members wanted to study in the library but found that no rooms were open. We designed the application interface from the ground up, down to the fonts and color palette. I enjoyed working with Figma and liked learning about the design process needed before a product goes to software engineers. The link on the left takes you to the semi-interactive prototype of this application via Figma.

With a partner, we created a model for machine learning to predict housing prices of homes in King County, Washington. Using a dataset on home prices in Washington’s King County, we trained a machine learning model to predict whether the price of a given home would be above or below a price threshold. We used various ML algorithms like k-nearest neighbor and the random forest classifier. This was done using Python in Jupyter Notebook and various libraries like pandas, numpy, scikit, and tensorflow. The GitHub repository linked contains notebooks of training the model and the analyses my partner and I completed.

Working with a partner for a database class, we developed a database using MySQL and an application for the database that allows users to search for movies on specific streaming services. I came up with this idea after having the recurring issue of not knowing what to watch on Netflix, Hulu, and other streaming sites, so I hoped to remedy the problem by designing this app for a course at Seattle University. For the web app, we used PHP, HTML, and CSS to design the webpage and add some base functionality for the project. The web application is no longer active on the university server, but I have the source code for future reference.

This Python application is a calculator to calculate what kind of scoring would be necessary or NFL scoring since American football uses an odd scoring system. This was inspired by Scorigami, which you can check out here, or reach out to me! The concept of Scorigami is something I am very interested in, along with other sport statistics.

Used GitHub and open source code to create resume website with HTML, CSS.

My group was challenged to create a variation of a board game for the spring 2021 hacking event with Seattle University’s ACM. We used Java to develop War Chess, a variation on chess with landscapes on a larger board. I handled some of the logic design for the pieces as well as basic asset design for the UI.