Every time I design a new microservice, there is a TODO checklist that I check against. An early item in this list is about setting up CI/CD for the new service. I think about what the artifacts are and how they get formed at various stages. …

Photo by Christian Wiediger on Unsplash

It’s not news that AWS has the broadest set of Machine Learning capabilities among the big three cloud providers. With the public availability of Sagemaker Studio in early 2020, they created a fully integrated ML Dev environment – a first-of-it’s-kind.

Anchoring an IDE at the center of all ML offerings…

Code smells are a common way of identifying hidden problems in your code using a surface level inspection. Here are some practices that show similar smells in your Machine learning process. They increase the probability of hidden errors in your ML practice over the long term.

You are directly manipulating model artifacts.

After training is complete…

Vishnu Prathish

Engineering Management @ Innovyze AI. We use AI to solve water problems.

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