Chris Meyers
Principal Engineer II at Confluent
Kirkland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Meyers is a Principal Engineer II with nine years of professional experience designing ML-driven relevance and large-scale data systems across top-tier companies like Confluent, Google, eBay, and Microsoft. He blends deep expertise in information retrieval, machine learning, and distributed computing with hands-on full-stack and DevOps work—evidenced by contributions to Google's widely used Datalab (adding Python 3 support and GPU-enabled containers). Chris has repeatedly led teams and technical efforts in productionizing cloud ML and search ranking features, from Vertex AI and BigQuery ML to Bing’s whole-page relevance. Based in Kirkland, WA, he combines research roots (MS in CS) with pragmatic engineering leadership, often acting as an architect and hiring bar-keeper who scales teams while maintaining rigorous technical standards.
9 years of coding experience
16 years of employment as a software developer
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Illinois Institute of Technology
Github Skills (16)
docker10
python10
dockers10
gcp9
front-end-development9
google-cloud-platform9
release-automation8
jupyter-notebook8
automation8
automated-build8
build-automation8
deployment-automation8
autobuild8
kubernetes6
kubernetes-pods6
Programming languages (4)
Github contributions (5)
googledatalab/datalab
Aug 2016 - Feb 2018
Interactive tools and developer experiences for Big Data on Google Cloud Platform.
Role in this project:
Full-stack & DevOps Engineer
Full-stack & DevOps EngineerContributions:6 releases, 81 commits, 111 PRs in 1 year 6 months
Contributions summary:Chris contributed to the development and maintenance of the Datalab platform, including both frontend and backend modifications. They implemented features such as adding a Python 3 kernel and modifying the UI to support it, indicating frontend work. Additionally, they worked on building GPU-enabled Docker containers and updating the build and release scripts, highlighting DevOps and infrastructure contributions. The user also improved the usability and functionality of Datalab by addressing issues, adding new features, and refactoring existing ones.
gcpgoogle-cloud-platformbigquerybig-datacloud
chmeyers/village
Mar 2023 - Jul 2023
Contributions:160 pushes in 3 months
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