Sean Lubbers
Senior Technical Enablement Manager at OpenAI
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolSean Lubbers is a technical enablement leader with seven years of experience building hands-on cloud training and developer-facing programs, currently driving Technical Success at OpenAI after roles in Commercial Partnerships and curriculum development at Google. He has a proven track record authoring and maintaining high-impact labs—over 30 Qwiklabs and contributions to widely used Google Cloud training repos—that have reached millions of completions and consistently high ratings. Sean blends event-side logistics and developer advocacy (from coordinating large-scale Google events to running live lab walkthroughs on YouTube/Twitch) with deep technical curriculum work, including updating TensorFlow-based notebooks and cloud preprocessing pipelines. A UC Berkeley alum who started by teaching large CS course labs, he brings uncommon empathy for learners and a knack for turning complex cloud workflows into reliable, reproducible labs and training experiences.
7 years of coding experience
8 years of employment as a software developer
Bachelor's degree Legal Studies, Bachelor's degree Legal Studies at University of California, BerkeleyHigh school diploma., High school diploma. at Marysville Charter AcademyMobile Web Specialist Nanodegree , Mobile Web Specialist Nanodegree at Udacity
Github Skills (12)
google-cloud-platform10
dataflow-programming10
dataflow10
cloud-computing10
gcp10
tensorflow9
machine-learning8
python7
kubernetes-pods5
kubernetes5
docker4
dockers4
Programming languages (7)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
Nov 2018 - May 2020
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
Cloud Engineer
Cloud EngineerContributions:1 review, 30 commits, 24 PRs in 1 year 6 months
Contributions summary:Sean primarily focused on updating and refining instructions within the `quests/scientific/coastline.ipynb` notebook, specifically related to preprocessing jobs and the use of Google Cloud Platform services. They made several revisions, addressing grammatical errors, formatting issues, and tailoring instructions to align with Qwiklabs needs. Additionally, the user updated the babyweight prediction notebook by updating the tensorflow version and train_deploy notebook.
gcpgoogle-cloud-platformgoogle-cloudtraining
seanlubbers1/flutter-projects
Mar 2023 - Mar 2023
My Flutter projects
Contributions:10 PRs, 21 pushes, 6 branches in 1 day
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