Scott Corbitt

About Scott Corbitt

As a Software Engineer IV at Meta, I develop algorithms that combine device telemetry and computer vision to dynamically load VR environments. I have 2+ years of experience in data science and machine learning, and a BS in Mathematics and Computer Science from the University of Washington. I apply my skills and knowledge to create innovative solutions that enhance the user experience and optimize the performance of VR applications. I have designed and implemented machine learning pricing algorithms for elevators and escalators, with 98% and 97% accuracy respectively, and a KNN algorithm to streamline service routes for Schindler Elevator Corporation. I have also designed a handwriting recognition pipeline for free-drawn student diagrams and analyzed the resulting networks using network theory to predict student success as a research assistant at UW. I use R, Python, and Tableau as my main tools for data analysis and visualization. I am passionate about finding patterns and insights from data and using them to create value and impact.

Experience

1. Software Engineer Iv

   Meta

   Oct 2022 — Present · Seattle, WA, US

   I develop algorithms combining device telemetry and computer vision to dynamically load VR environments.

Education

• Brigham Young University

  Undergrad

  2016 — 2018

• University of Washington

  Bachelor of Science - BS

  2021 — 2022