Eric Johnson
Seattle, Washington, United States
Summary
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RockstarEric Johnson is a retired engineering leader with over six years of recent hands-on experience and a long career building and operating large-scale cloud and infrastructure platforms at Google, Microsoft, and Rackspace. He led BigQuery and BigQuery Omni teams, creating multi-cloud infrastructure that lets GCP run analytics across other public clouds, and previously founded GCP’s open source ecosystem program to drive partner integrations and measurable adoption. His technical contributions include back-end work on Google Colaboratory tooling and ML-focused changes to the SageMaker Python SDK, reflecting a blend of systems, developer tooling, and ML-platform expertise. Known for translating product and partner needs into metrics-driven programs, he’s comfortable at the intersection of engineering, program management, and public speaking. Based in Redmond, WA, he holds an MS in Computer Science from RPI and a BS in Electrical Engineering from Drexel. An understated detail: he has dug into core import hooks and resource monitoring in Colab, showing willingness to modify low-level runtime behavior when it matters.
6 years of coding experience
Github Skills (14)
unit-testing10
mxnet10
machine-learning10
ipython10
aws10
python10
sagemaker10
google-colaboratory10
unit-test7
testing7
tornado7
notebook7
pytorch4
tensorflow4
Programming languages (6)
Github contributions (5)
aws/sagemaker-python-sdk
Jun 2020 - Feb 2021
A library for training and deploying machine learning models on Amazon SageMaker
Role in this project:
ML Engineer
ML EngineerContributions:116 reviews, 60 commits, 116 PRs in 8 months
Contributions summary:Eric's commits primarily focus on modifying and updating unit tests and code related to the MXNet framework within the SageMaker Python SDK. Their contributions include enforcing the use of framework versions and Python versions, and adapting tests for various scenarios, and the inclusion of required arguments. Furthermore, the changes include the modification of model compilation and image preparation.
amazon-sagemakermachine-learning-modelsawsmxnettensorflow
googlecolab/colabtools
Jul 2022 - Jan 2023
Python libraries for Google Colaboratory
Role in this project:Back-end Developer
Back-end DeveloperContributions:14 commits, 314 comments, 341 issues in 6 months
Contributions summary:Eric primarily contributed to internal changes within the Google Colaboratory Python libraries. These changes include modifications to the import hooks, shell customizations, and resource monitoring features, along with updates to the project's dependency setup. The user's commits suggest a focus on improving the functionality, maintainability, and compatibility of the Colab environment. This work involved modifying core Colab components to ensure stability and address internal requirements.
google-colaboratorypython
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