This blog is where I document what I learn as a Data Science student aiming for a career in MLOps and AI engineering.

What to expect

  • ML: Kaggle competition walkthroughs, model experiments, notes on algorithms
  • CS: System design concepts, engineering fundamentals, tools I find useful
  • Internship: Takeaways from working with AWS and cloud infrastructure
  • Paper Notes: Summaries of papers with my own commentary

Why a blog?

Writing forces clarity. If I can’t explain something simply, I don’t understand it well enough.

Stack

This site runs on Jekyll + Minima, deployed via GitHub Actions. Posts are written in Markdown.

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# Code blocks look like this
def hello():
    print("Hello, world!")

More posts coming soon.