Marie Shaw

Engineering Student, Software Developer, Food Lover

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Projects


Detours: Rerouting traffic to custom services

intern at Google in summer 2017 on the Dynamic Search Ads team

  • Vastly improved features on a web frontend used by Youtube and Video Ads devs that reroutes user traffic to custom services
  • Added feature in Android Youtube Dev mobile app attaching cookies to HTTP requests
  • Improved a differ tool by uploading diffs to test result site

Technologies Utilized:

  • Golang
  • Python
  • HTML/CSS/JS
  • AngularJS
  • Android Studio/Java
  • Protocol buffers
  • Bigtable

Gubernator: Simplify and automate Kubernetes debugging

intern at Google in summer 2016 on the Kubernetes team

  • Worked on Kubernetes, an open-source container orchestration system
  • Developed web application running on Google App Engine to simplify and automate debugging steps with an emphasis on log filtering
  • Project code is on Github (keep scrolling for links!)

Technologies Utilized:

  • Golang
  • Python
  • HTML/CSS/JS
  • Kubernetes
  • Google App Engine
  • Google Cloud Storage

Docker Console: A graphical Docker client in your terminal

intern at Docker in summer 2015

  • Developed a curses/text based user interface for Docker
  • Made most Docker command line arguments available through interface including: ps, pull, push, exec, commit, run, stop, start, delete, inspect...
  • First software engineering intern at Docker
  • Gained experience with an open source project and community
  • Project code is on Github (keep scrolling for links!)

Technologies Utilized:

  • Python
  • Docker

Voka

research assistant at CMU in Fall 2017 (Advisor: Dr. Jeff Bigham)

  • Designed and developed mobile app to facilitate interactions between deaf people and speech controlled devices such as the Amazon Alexa
  • Collaborated with designers
  • Project code is on Github (keep scrolling for links!)

Technologies Utilized:

  • HTML/CSS/JS
  • Phonegap
  • Android Studio/Java

Infant Learning and Language Lab

research assistant at CMU in Spring 2017 (Advisor: Dr. Erik Thiessen)

  • Investigated how learning outcomes in childhood vary using different presentations (static vs. digital technologies)
  • Designed and developed executive function tasks using MATLAB to contribute to data collection on working memory, attention, and inhibitory control of 4 year olds
  • Programmed and wrote documentation for a iSpy like game that collected data
  • Project code is on Github (keep scrolling for links!)

Technologies Utilized:

  • Matlab
  • Python