Adrián R
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAdrián R is a software engineer at Google with 12 years of experience, combining industry-grade engineering with academic depth from an MSCS focused on AI planning and knowledge representation. His master's thesis at UNAM's biorobotics lab involved logical programming for a RoboCup@Home service robot, reflecting hands-on work in autonomous planning and artificial cognition. At Google and in open-source, he contributes to critical ML tooling—most recently improving authentication and compatibility in TensorBoard’s backend and build systems. He blends backend and DevOps expertise with a strong research mindset, favoring robust, maintainable solutions that bridge robotics research and production ML infrastructure.
12 years of coding experience
Bachelor of Software Engineer, Bachelor of Software Engineer at Universidad PanamericanaUniversidad Nacional Autónoma de México (UNAM)
Github Skills (10)
authentication10
user-authentication10
google-cloud10
python10
build-automation10
cicd9
numpy9
devops9
tensorflow9
protocol-buffers8
Programming languages (5)
Github contributions (5)
tensorflow/tensorboard
Jan 2023 - Jan 2023
TensorFlow's Visualization Toolkit
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:10 releases, 179 reviews, 10 commits in 8 days
Contributions summary:Adrián contributed to the project by implementing and improving the authentication flow using a limited-input device approach to replace a deprecated method. They also updated the code to be compatible with newer versions of the numpy library, resolving build breaks. Additionally, the user fixed a configuration bug related to the "limited-input device" authentication flow. Their work also encompassed updating the build process and dependencies, including updating the TF compat protos and dropping support for Python 3.8.
tensorflowvisualization
arcra/PNLab
May 2014 - Dec 2014
Contributions:66 commits in 6 months
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