Summary
Overview
Work History
Education
Skills
Projects
Timeline
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Kelsey Larson

Medford,Oregon

Summary

A highly skilled software engineer with expertise in system programming, architecture development, and a strong understanding of computer science fundamentals. I possess proficiency in both low-level implementation and higher-level abstracted languages, enabling me to work comfortably across various levels of the software stack. In addition, I have a strong interest in artificial intelligence and actively explore and apply AI technologies in my work. With a solid foundation in computer science and a versatile skill set, I excel at tackling complex software challenges and driving innovation.

Overview

6
6
years of professional experience

Work History

IOS Software Engineer

Experian
05.2022 - 08.2023

Modernized codebase by refactoring architecture to MVVM, enhancing scalability and maintainability of application.

Programmed and implemented new app features

Demonstrated expertise in multiple facets of project, including White label software, SDK and widget library, ensuring seamless integration and compatibility for our partners.

Solely programmatic solutions, eliminating reliance on built in storyboards and graphical tools (IE. Interface builder)

Embraced a modern iOS approach, with a strong understanding of iOS 11 and above, ensuring compatibility for the majority of iOS users.

Developed strong command line skills, proficient in executing tasks efficiently from terminal.

Built upon existing fast lane script to pull assets to change white label software partner, eliminating reliance on manual folder input, project setting configuration.

QA Engineer

Experian
09.2021 - 05.2022

Developed Cucumber scripts to facilitate Behavior-Driven Development (BDD) testing

Thoroughly tested web code through a combination of automated and manual approaches.

Collaborated directly with developers and QA to allocate tasks effectively to ensure a timely completion of project deliverables.

Software Engineer II Intern

DRS Daylight Solutions
06.2021 - 09.2021

Team lead for Hound project (1). Administered technical guidance and implemented Agile development approach following SDLC.

Lead testing phases utilizing Qt for unit/regression testing.

Developed multithreaded, embedded software to automate the process of measuring and recording helium leak tests.

Facilitated communication between customer and Hound team by gathering use cases, requirements and delivering minimal viable products.

Software Engineer I Intern

DRS Daylight Solutions
06.2019 - 08.2019


Developed multi-threaded modbus communication interface and GUI for ESS T650 thermal plate in Qt / C++

Systemized software build and test workflow utilizing Jenkins.

Improved upon software design & tooling best practices.


Server

Pizza Nova
06.2017 - 06.2018

Handled high pressure environments requiring efficient communication with guests and coworkers.

Advocated and assisted guests in menu choices and restaurant experience.

Education

Bachelor of Science - Computer Science

Portland State University
Portland
06.2021

Bachelor of Science - General Education

Miramar Community College
Mira Mesa CA
06.2017

Skills

Swift, Objective C

Qt / C /C

Rust

Python

Java

SQL

Git/bitbucket

Command line terminal text editor Vim

Jira task management

Jenkins

UI / UX design

HTML / CSS / JavaScript

Agile / Waterfall method

Projects

 

(1)Hound Helium Leak test Automation— Intern Team Lead

Developed automation software for the purpose of measuring helium leak tests as part of a laser chassis manufacturing process. 

Responsible for system design and architecture, using an Agile approach.

Responsible for the supervision and training of 2 junior interns.

Used C++/Qt/ MySQL to create a multithreaded, serial comm interface.


 

School Projects:

SAFE Anonymous Feedback App —  Senior project, Capstone Team Lead 

Worked in NodeJS and vanilla JS to create an anonymous feedback form and chatroom. Integrated backend to frontend display and created a GUI for admin use. 

Sentiment Analysis Machine — Open Source Machine Learning

Trained and compared effectiveness of multiple machine learning classifiers for sentiment analysis. Models were trained with open source datasets from Twitter API and then scaled to have accurate comparison values. 

Timeline

IOS Software Engineer

Experian
05.2022 - 08.2023

QA Engineer

Experian
09.2021 - 05.2022

Software Engineer II Intern

DRS Daylight Solutions
06.2021 - 09.2021

Software Engineer I Intern

DRS Daylight Solutions
06.2019 - 08.2019

Server

Pizza Nova
06.2017 - 06.2018

Bachelor of Science - Computer Science

Portland State University

Bachelor of Science - General Education

Miramar Community College
Kelsey Larson