Who Am I?

I'm a Flutter developer with a love of philosophy, music, and cooking.

 

What Am I Up To Right Now?

I'm currently working as a software engineer at Very Good Ventures and completing my Master's in Computer Science at the University of Southern California.

simpson.petere@gmail.com
Check out my Github!
Peter Simpson
Projects
Flutter Drum Machine
Flutter drum machine screenshot
Screenshot of the Flutter TR-404 Drum Machine Web App.
Visit the Site (chrome reccomended)
Repository Link
I made a web app simulating an old-school drum machine using Flutter Web.
The app utilizes advanced state management techniques to sequence user-created drum patterns, and allows the user to choose between several different kits.
Latin Square Solver
Latin Square Visualization
Visualization of a Latin square generated by my program from a set of hex codes.
Repository Link
This is a templated, efficient, implementation of a custom-sizeable Latin square solver that I created in C++.
The Latin square has applications to cryptography, statistics, and telecommunications, but I just made this for fun. I implemented the solver as a backtracking algorithim for increased efficiency in comparison to an all-combinations solution.
Speaker at Byteconf Flutter 2020
Recording of my talk from the Byteconf livestream.
I was invited to speak to over 1,000 attendees at Byteconf Flutter 2020 about my experience as a student developer with Flutter, and why I think Flutter is a great tool for fellow interdisciplinary developers.
Snek 2D
Snek 2D Screencap Snek 2D Screencap
Screenshots from Snek 2D.
Repository Link

Find Snek 2D on the App Store

This is a riff on the classic Snake game that I made for iOS and Android with Dart using the Flutter framework. Check out groovy and turbo mode in the Settings menu for a new experience!
What's My App?
production screencap
Result Page Screenshot.
Visit the Site
Repository Link

This is a satirical single-serving website I made using Flutter Web. It generates a stylized generic "flashy" app name and allows the user to send a pre-composed tweet about it. Utilizes browser- and device-specific code to ensure the website displays correctly on as many platforms as possible.
"Reinforcing a Modal Account of Luck"
Download Here

This is an academic philosophy paper presenting my original work on parsing concepts of "luck," building on the work of Duncan Pritchard and the critiques which he spawned.
"Infant Media Exposure"
Download Here

This award-winning paper presents my primary results from two years spent conducting original research at New York University's Neuroscience and Education Lab.

This paper shed light on serious inaccuracies in the widely-used LENA research tool, and presented my findings relating to the relationship between media exposure and sleep in infants.
Resume
University of Southern California M.Sc.
  • 2022 - Present
  • Master's in Computer Science
  • Areas of interest include algorithms and internetworking
University of Southern California B.A.
  • 2018 - 2022
  • GPA: 3.96
  • Recipient of a Full-Tuition Trustee Merit Scholarship
  • Philosophy and Computer Science Student
  • Selected for the Thematic Option Honors Program
Languages
  • Dart, C++, SQL, HTML/CSS
Tools and Frameworks
  • Flutter, Git, Figma, Postgres, VirtualBox
Software Engineer
Very Good Ventures, 2022 - Present
  • Working with a team of engineers to develop mobile apps in Flutter for clients big and small.
Computer Science Course Producer
University of Southern California, 2021 - 2022
  • Chosen to be an undergraduate teaching assistant based on excellent computer science performance.
  • Lead weekly labs and office hours where I teach C++ and programming concepts to dozens of students.
Software Engineering Intern
Very Good Ventures, 2021
Provost's Undergraduate Research Fellow
University of Southern California, 2020 - Present
Research Assistant
New York University Neuroscience and Education Lab, 2016-2017
  • Conducted award-winning independent cognitive science research into language acquisition among infants in New York.
  • Responsible for reviewing and parsing thousands of hours of audio data used in published work across the lab.