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Phillip Mestas
Career Related Education
Software Engineering Intern, Google Inc.
Designed and implemented a stateless RPC component for making canonical Google Compute Engine end-to-end test framework functionality useful to other teams using Python and proprietary Google technology. Incorporated key software engineering concepts such as extensibility, testability, and maintainability in a real-world solution. Onboarded and deployed two key utilities used by about 2,000 test targets into a custom RPC component and rolled them out to the test framework.
2019
Engineering Practicum Intern, Google Inc.
Created a monitoring dashboard for the Google Play Suggest pipeline that runs on Google infrastructure using a Python server, allowing the team to visualize jobs that have been run and quickly identify and address issues with the pipeline. Designed and implemented Google Play Suggest server functionality that improves filtering of suggestions at scale, while also providing users with higher quality suggestions. Used C++ and Google technology best practices to perform major refactors on the Google Play Suggest backend, making the code safer as well as easier to read and maintain. Worked on a distributed backend system, keeping in mind issues such as latency and scalability to hundreds of millions of users.
2018



Member, Niemeyer Research Group
Worked on the development of pyMARS, an open source software for chemical kinetic model reduction. I presented this project at the Western States Section of the Combustion Institute Fall 2017 Technical Meeting. Details can be found on GitHub as well as in the conference paper.
2017-Present

Teaching Assistant, Oregon State University
Helped students understand the material of the introduction to computer science courses at Oregon State University through teaching recitations, heading labs, and holding office hours.
2017-Present
Member, Oregon State University Robotics Club
Participated on the Oregon State University Robotics Club Rover Team on the software sub-team. Developed software in a team environment to be deployed on the mars rover which would go on to place 14th out of 36 at the 2017 University Rover Challenge.

2016-2017
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