I recently read the books "Applied Machine Learning and AI for Engineers" and "Introducing MLOps", and I took some notes to make a quick summary of all the stuff packed into these books. In this post, I'm sharing my takeaways, from the basics of supervised and unsupervised learning to the more complex areas like deep learning and natural language processing, as well as the core ideas behind MLOps.

I've been working with Terraform for a while now, and I've noticed that there are a few things that I keep telling people about. I thought it would be helpful to write a blog post about some of the most common questions I get asked and share some of the things I've learned along the way.

Photo-taking engineers, understanding how photos perform online can provide valuable insights into audience preferences and engagement. In this post, I'll walk you through a Python script I created to analyze the performance of my photos on Unsplash.

I am very happy to announce that I have been nominated as a top mentor on MentorCruise! 🎉 A big milestone, reflecting the progress and success of my mentees. Thank you to everyone who has been part of this journey.

CI/CD observability provides insights into the performance and health of CI/CD pipelines, helping teams detect issues early and improve efficiency. A few options are currently available on the GitHub Actions marketplace to integrate OpenTelemetry into CI/CD workflows.

I am very happy to announce that I have been selected as a CNCF (Cloud Native Computing Foundation) Ambassador - a long-standing goal of mine!