🌟 Documenting My Journey into MLOps

Hey there! I’m Kaviya K, an Electrical and Instrumentation Engineering graduate (Class of 2024). I’m currently working in front-end development, but my heart has always leaned toward the world of AI and cloud.

So, I’ve decided to take a new path — diving deep into MLOps and sharing everything I learn along the way.

What is MLOps?
MLOps, short for Machine Learning Operations, is a practice that combines machine learning, DevOps, and data engineering to automate and streamline the entire ML lifecycle — from building models to deploying and maintaining them at scale. It ensures that machine learning systems are reliable, efficient, and production-ready.

I’m eagerly interested in MLOps because it’s a rapidly growing field that's widely used across industries, and I’m fascinated by the idea of machines learning to think and make decisions like humans. I can't wait to understand how everything comes together behind the scenes!

This space will be my little corner of the internet where I document my weekly progress — from learning new concepts to building projects, overcoming challenges, and discovering what it really takes to break into the MLOps field.

Whether you're starting your own journey or just curious about mine, I hope you'll find something here that inspires or helps you.

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✍️ What to Expect on This Blog

I’ll be posting weekly updates sharing:

• What I learned each week (wins + struggles)

• Notes, code snippets, and project progress

• Tips for others starting out in MLOps & AI

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Thanks for reading — Week 1 update coming soon! 💪✨

Let’s grow together. 💻🚀

Stay tuned!
– Kaviya ✨