Zari McFadden

Ph.D. Candidate / Durham Native / Spelman Woman

Education

North Carolina State University

Computer Science Ph.D.

August 2020 - May 2024

North Carolina State University

Computer Science M.S.

August 2020 - May 2023

Spelman College

Computer Science B.S.

August 2016 - May 2020

Google Tech Exchange

Domestic Exchange

Spring 2019

Queen Mary University of London

Study Abroad

Fall 2018

Skills

iOS App Development

Qualitative Data Analysis

Frontend Web Development

Languages & Frameworks

HTML / CSS / JavaScript

Svelte / SvelteKit

Swift / SwiftUI

Python

Java

C++

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Work Experience

Willowtree

Software Engineering Intern

June 2023 - August 2023

Owned a feature of an iOS mobile ordering app for a coffee company. Work included implementing the UI and networking using Swift and SwiftUI, writing unit tests, presenting work to clients, and contributing to design and implementation ideation.

Willowtree

Software Engineering Intern

June 2022 - August 2022

Contributed to and led the development of new features of a mobile iOS application for a client. Work included implementation and integration of new screens, presenting work to clients, and participating in ideation meetings.

WillowTree

Software Engineering Intern

May 2021 - August 2021

Collaborated on various aspects of a mobile iOS application for a client. Converted features developed In UI Kit to SwiftUI, wrote API models, and wrote unit tests using XCTest.

Microsoft

Software Engineering Intern

May 2019 - August 2019

Developed a user context stream on a Business Application Group Product to track customer usage throughout the site and gather actionable insights around how to improve the user experience.

Microsoft

Explorer Intern

May 2018 - August 2018

Developed a responsive feature to add to different pages of a business applications product, and tested the feature amongst preview customers and other Microsoft interns.

University of Florida Gainesville

Research Assistant

June 2017 - August 2017

Analyzed qualitative data from audio transcripts through affinity diagrams and qualitative coding to find ways to make technology more efficient and accessible for children.