I'm a Computer Science student and software developer in the Georgia Tech class of 2024 with a specialization in Intelligence & Modeling/Simulation. My primary areas of interest are Computer Vision, High Frequency Trading, Robotics, 3D Visualization, Operating Systems, Self-Driving Software, and Game-AI.
Currently I have an internship this summer, but I'm open to other new software engineering, research, and startup ideas or side projects. If you think I'm a good fit, please contant me via masonarein@gmail.com.
Georgia Tech Motorsports• September 2022 - Present
Machined lower and upper control rod arms.
Worked with lathe and tormac machines for composite testing.
Adjusted tightness of upper control arms for ideal weight distribution.
Helped with carbon layups for the rear and front wings.
GT Motorsports
Georgia Tech Venture Capital Club• August 2022 - November 2022
Created and evaluated start up pitches and budget sheets.
Studied current successful company models in the area of software as a service.
Reseached series A and preseed startups for future investment.
GTVC
GT Data Science• August 2022 - Present
Applied large scale data for computer vision and machine learning focused projects.
Involved with events partnered with Amazon and Intel.
Data Science
Georgia Tech: Magic The Gathering Club• January 2022 - Present
Created over two dozen decks for Elder Dragon Highlander, Modern, and Standard gametypes.
Helped teach others and bring in new members.
Personal Decks
GT Programming Team• August 2021 - Present
Developed solutions to code problems with big O and operational constraints.
Learned tips and tricks to answer typical coding problems.
GT Programming Club
Alpha Gamma Chapter, Delta Sigma Phi• August 2021 - Present
Held the positions of T-Shirt, Brotherhood, and IT chair.
Worked with recruitment as a member of the rush committee to get new members.
Delta Sigma Phi
May 2024 - August 2024
Primary contributor for application automation testing on Reminders team. Configured framework for testing on the Apple Vision Pro. Modified test cases to increase pass rate by 40% on daily testing within labs.
August 2023 - December 2023
Modified UI for Powertrain testing data to include Noise Vibration information with Typescript and React. Updated API settings and data pipeline for new aspects of hardware testing using GO. Aided in adaptions for Node configurations used on Windows based servers using Labview
May 2023 - Present
Team member for Apple Reminders QA working on iOS Swift automation testing as well as dataset testing for Groceries ML classification algorithm. Adapted iPhone automation testing to iPad UI impacting 3 dozen test cases. Developed share test cases for compatability in the Apple ecosystem.
May 2022 - August 2022
Worked with the SecureWatch software development team to create JavaScript and Gherkin scripts for fulfilling stakeholder specifications outlined through user stories. Applied Selenium browser drivers to work through browser navigation. Integrated Selenium grid operations to allow for paralleization of test cases using multiple browsers as well as simultaneous testing for multiple types of browsers. Worked towards using browser test cases across multiple devices to test different types of operating systems and parallelize with the resources of multiple devices.
August 2020 - April 2021
Applied a Lumped Element Thermal Model to the behavior of Extreme UltraViolet emissions of solar flares to determine the plasma density of the system. Used an IDL program for the identification of irradiance peaks of EUV along with a decay point for the determination of a time constant for the decay of irradiance. Using this along with a temperature maximum, I applied the LETM for approximate evaluates of density vs irradiance and temperature.
August 2019 - August 2021
Taught students a multilanguage curriculum focused on 2D & 3D game design using Scratch, JavaScript, Lua, Unity, and Java. Assisted in coding personal projects and games with children of various ages and coding abilities. Worked with game development and modifications for Minecraft, Roblox, and other game creation systems. Helped others using game engines such as Unity game engine and assisted in robotics code development.
June 2021 - December 2024
BS in Computer Science with a GPA of 3.92 focusing in Intelligence & Modeling/Simulation. Took classes working with computer vision, artificial intelligence, robotics, high performance computing, data structures, computer architecture, networking and hardware, UML diagramming, software development process, mobile applications, and discrete mathematics. Learned programming languages including Java, C, C++, C#, Make, Python, Swift, JavaScript, MatLab, and Assembly. Used packages including OpenCV, PyTorch, TensorFlow, GTSAM, Selenium, PyPy, and ROS.
August 2017 - May 2021
Graduated with Summa Cum Laude. Received 5-figures of merit based scholarship. Presented my data analysis with the LASP at the 2021 Colorado Science Fair after winning 2nd in Physics for regionals. Helped with the startup of school tech honor socity. Competed in 5A Varsity Speech and Debate at over 10 different state wide meets. Placed in the top 0.5% nationally for the SAT & ACT with national merit recognition. Earned a 4.0 in 10 different college placement courses. Completed over 200 hours of community service through tutoring, club programs, science camps, community cleanup, library organization, and community food/clothes collection.
Python based application that randomly selections words to use as prompts for vision model. Neural network creates art to be displayed on the computer running it.
Python, Selenium Webdriver, mac OSUsed a rapidly exploring random tree in three dimensions with the constraints of thrust vectors along with maximum banking angle to create paths between ring goals.
Python, GTSAMApplied a triple convolution layer neural network to classify 15 different types of black and white imagery. Managed to reach 60% accuracy for test data.
Python, OpenCV, PyTorch, PandaCreated circular vector descriptors for 16x16 regions around key points. Key points obtained from convolution matrix detecting vertical and horizontal changes.
Python, PyTorch, Linear AlgebraCreated own personal website for showing resume.
Webdesign, javascript, css, htmlApplied different scale convolutions to detect the variational changes between different groupings of content within imagery.
Python, OpenCV, PyTorchIDL program used for the detection of solar flare irradiance maximums along with an exponentially decayed value to get a time constant. Time constant and temperature maximum used to determine quantity of plasma in the system.
Physics, Differential Equations, IDLLet me get to know more about you.
Saddle Ridge
Louisville, CO
80027 US
masonarein@gmail.com