---
title: "Amie. (@amiez) | Hashnode"
description: "Happy Coding 🚀. Read the latest articles by Amie. on Hashnode."
url: "https://hashnode.com/@amiez"
---

@amiez

# Amie.

@amiez · Joined March 2025

Happy Coding 🚀

### [What Is Data Engineering? A Beginner’s Perspective](https://codecoffeee.hashnode.dev/what-is-data-engineering-a-beginner-s-perspective?utm_source=hashnode&utm_medium=feed)

Data Engineering is about building systems that collect, process, organize, and deliver data so that people and applications can use it.

10 min read · [codecoffeee.hashnode.dev](https://codecoffeee.hashnode.dev/what-is-data-engineering-a-beginner-s-perspective?utm_source=hashnode&utm_medium=feed)

[Oct 17](https://hashnode.com/posts/what-is-data-engineering-a-beginner-s-perspective/6ad3b46e911d2e02cd656fda)

### [Understanding Fibonacci Numbers and Simple Algorithms](https://codecoffeee.hashnode.dev/understanding-fibonacci-numbers-and-simple-algorithms?utm_source=hashnode&utm_medium=feed)

Fibonacci numbers are one of the easiest and most useful ways to understand how algorithms work in programming. They help beginners learn how problems can be solved step by step using logic. What Are

4 min read · [codecoffeee.hashnode.dev](https://codecoffeee.hashnode.dev/understanding-fibonacci-numbers-and-simple-algorithms?utm_source=hashnode&utm_medium=feed)

[Apr 13](https://hashnode.com/posts/understanding-fibonacci-numbers-and-simple-algorithms/69dc90b8be21b1bd01455f07)

### [DVC (Data Version Control): Theory, System Design, and Practical Usage](https://codecoffeee.hashnode.dev/dvc-data-version-control-theory-system-design-and-practical-usage?utm_source=hashnode&utm_medium=feed)

Machine learning systems are fundamentally different from traditional software systems because they depend heavily on data rather than just code. In real-world ML, even if your code is perfect, result

6 min read · [codecoffeee.hashnode.dev](https://codecoffeee.hashnode.dev/dvc-data-version-control-theory-system-design-and-practical-usage?utm_source=hashnode&utm_medium=feed)

[Apr 11](https://hashnode.com/posts/dvc-data-version-control-theory-system-design-and-practical-usage/69d9d158c8e5007ddb48a4d1)

### [MLflow: A Complete Guide to Managing the Machine Learning Lifecycle](https://codecoffeee.hashnode.dev/mlflow-a-complete-guide-to-managing-the-machine-learning-lifecycle?utm_source=hashnode&utm_medium=feed)

Imagine you are building a model to predict whether a customer will churn. You collect data, clean it, and train a few models in a notebook. One model gives 82% accuracy, another gives 85%, and after

14 min read · [codecoffeee.hashnode.dev](https://codecoffeee.hashnode.dev/mlflow-a-complete-guide-to-managing-the-machine-learning-lifecycle?utm_source=hashnode&utm_medium=feed)

[Apr 11](https://hashnode.com/posts/mlflow-a-complete-guide-to-managing-the-machine-learning-lifecycle/69d9cfafc8e5007ddb47116b)

### [Building Reliable ML Systems: An Introduction to MLOps](https://codecoffeee.hashnode.dev/building-reliable-ml-systems-an-introduction-to-mlops?utm_source=hashnode&utm_medium=feed)

Imagine you are building a system that can predict house prices. You collect data, clean it, and train a model in a Jupyter notebook. The model performs well on your test data, and everything seems re

4 min read · [codecoffeee.hashnode.dev](https://codecoffeee.hashnode.dev/building-reliable-ml-systems-an-introduction-to-mlops?utm_source=hashnode&utm_medium=feed)

[Apr 11](https://hashnode.com/posts/building-reliable-ml-systems-an-introduction-to-mlops/69d9c52dc8e5007ddb3eabee)