GokuMohandas

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Goku Mohandas GokuMohandas

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ML @anyscale. Founder @madewithml (acq). AI Research @apple. ML Lead @Ciitizen (acq). Alum @hopkinsmedicine and @gatech

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GokuMohandas/README.md

Hi, I'm Goku Mohandas

I create platforms that enable people to solve problems.

🔥 We're among the top MLOps repositories on GitHub

GokuMohandas/Made-With-ML: lesson content for Made With ML.
GokuMohandas/mlops-course: repository for the MLOps course.
GokuMohandas/testing-ml: repository for the testing lesson.
GokuMohandas/monitoring-ml: repository for the monitoring lesson.
GokuMohandas/feature-store: repository for the feature store lesson.

Connect with me via Twitter or LinkedIn
to Made With ML for monthly updates on new content!

💻 ML @Anyscale
🌏 Founder @MadeWithML (acq.)
🏥 ML Lead @Ciitizen (acq.)
🔬 AI Research @Apple
🎓 CS/ML @GeorgiaTech
🎓 Biomed @JohnsHopkins

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Made-With-ML Made-With-ML Public

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Jupyter Notebook 38.1k 6k
mlops-course mlops-course Public

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Jupyter Notebook 3k 524
testing-ml testing-ml Public

Learn how to create reliable ML systems by testing code, data and models.

Jupyter Notebook 86 13
monitoring-ml monitoring-ml Public

Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.

Jupyter Notebook 80 15
feature-store feature-store Public

Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.

Jupyter Notebook 55 6
data-engineering data-engineering Public

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

Jupyter Notebook 211 34

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