Forge a path into AI with me!

I’m a  Self-Taught AI/ML Engineer. I share content on LinkedIn, YouTube , and my newsletter.

LinkedIn

I’m learning AI in public — and sharing what works.

Expect practical breakdowns, frameworks, tips, and lessons I wish I had when I started.

My goal is to help professionals master AI & ML so they can create real solutions, generate income, and unlock freedom and fulfillment through their work.

If that’s your path too, consider subscribing — and I’ll see you in the comments.

Let’s forge our way into the world of AI, together.

YouTube Channel

On this channel, you’ll find resource reviews, hands-on project walkthroughs, and practical tutorials — all designed to help you build real skills, create value, and move toward income, freedom, and fulfillment with AI.

No fluff. Just useful content to help you learn, build, and apply.

FREE PDF

Learn the Fundamental Machine Learning Algorithms

What You’ll Get:

  • A list of key machine learning terminology
  • An overview of how to apply machine learning
  • Clear explanations of the fundamental machine learning algorithms (with math!)
  • Code examples for each algorithm in the popular scikit-learn python library

I will also very occasionally send you emails with more valuable content. 

Recent Articles

How Feedback Loops Lead to Rapid Transformation in AI and Life

Hey! A feedback loop is a powerful mental model that can lead to rapid transformation when it’s exploited. In this newsletter, let’s break down a fundamental concept in AI and machine learning – gradient descent. In doing so, we’ll explore how feedback loops are vital to machine learning and how

Wisdom From the Average: A Powerful ML Frame of Mind

Hey! In machine learning, “regression to the mean” is an important concept for evaluating models. Simply put, regression to the mean is the idea that unusual events are often followed by more typical ones. Consider the following scenario. A machine learning engineer, or data scientist, trains a model on some

Blinded By Expertise: Avoid Bias in AI and Life

Hey! In machine learning (ML), there is a balance between applying your expertise and acting as if you know nothing. Expertise can be a powerful tool when deciding what information you should train your ML algorithm with, but it can lead to consequential biases. Your expertise can bias you away

Explore vs Exploit: Navigate Your Path to Success Like an RL Agent

Hey! Reinforcement learning (RL) is a type of machine learning where an “agent” learns to make decisions by trial and error. The agent needs to balance trying new things (exploring) with performing in ways that have worked in the past (exploiting). If all the agent does is explore, then it

Reach out to me. Let's learn together.