AI, Cybersecurity, and Identity


I break down AI, infrastructure, cybersecurity, and other technical topics into clear, organized content designed to connect with human readers, SEO algorithms, or AI tools like ChatGPT and Google’s AI Overviews. 

PRODUCT MARKETING: Much of my work takes the form of long-form explainers, but the approach naturally aligns with product marketing. By translating complex technologies like observability, databases, and ransomware into language that highlights value and differentiation, I create content that strengthens positioning, supports launches, and helps products stand out in competitive markets.

What is Reinforcement Learning?

Reinforcement learning (RL) is the science of decision-making. Distinct from supervised and unsupervised learning, this learning model is a subset of machine learning systems that trains algorithms to make decisions in a particular environment. Reinforcement learning techniques use a trial-and-error paradigm where it observes outcomes, decides whether its choice was correct, neutral, or incorrect, and determines which action to take next. This learning process continues until it achieves its goal.

What Is Deep Learning In AI?

Supervised learning

Think of it as a guided learning process, where the computer is a student that learns by studying examples with correct answers already provided. It's beneficial for tasks where you want AI to make predictions or classifications based on past data, like identifying spam emails or estimating real estate prices.

Unsupervised learning

Imagine sending an AI on an exploration mission into a dense jungle, where the data is the unexplored forest. Just as an explorer observes and...