Rocky Lubbers
Lab Architect, Google Cloud at Perfect Dark
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRocky Lubbers is a Senior Lab Architect at Google Cloud with nine years of experience designing hands-on technical curriculum and self-paced labs that help engineers and analysts ship practical cloud and AI skills. A UC Berkeley Cognitive Science graduate with an AI Nanodegree from Udacity, he blends human-centered thinking with data-driven model work—most recently contributing a mortgage-classification challenge notebook that uses the What-If Tool to examine model fairness. He has progressed through roles at Google and SureSkills building scalable training content for Cloud Skills Boost and mentored learners at Udacity and Berkeley, demonstrating a knack for translating complex concepts into interactive learning experiences. Outside tech he co-founded the Perfect Dark record label and collective, bringing creative direction and community-building sensibilities to his work. This mix of curriculum design, applied ML experimentation, and grassroots cultural leadership gives him a rare perspective on how people adopt and trust emerging cloud technologies.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Cognitive Science, Bachelor's degree, Cognitive Science at University of California, BerkeleyArtificial Intelligence Nanodegree, Artificial Intelligence Nanodegree at Udacity
Italian, Spanish
Github Skills (10)
scikit10
scikit-learn10
pandas10
machine-learning10
python10
data-analysis10
jupyter-notebook9
data-visualisation8
data-visualization8
data-visualizations8
Programming languages (8)
Github contributions (5)
GoogleCloudPlatform/training-data-analyst
May 2020 - Oct 2021
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Role in this project:
Data Scientist
Data ScientistContributions:7 reviews, 37 commits, 34 PRs in 1 year 4 months
Contributions summary:Rocky added a challenge notebook focused on using mortgage data to train and compare two binary classifiers with the What-If Tool. The notebook involves data import, processing, cleaning, and splitting into training and testing sets. The user's contribution involves implementing two classification models and analyzing them using the What-If Tool for fairness and bias.
gcpgoogle-cloud-platformgoogle-cloudtraining
rocpoc/perfectdark909
Feb 2023 - Mar 2023
Perfect Dark Site
Contributions:13 reviews, 33 commits, 21 PRs in 27 days
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