Master’s degree in Computational Science from Georgia Institute of Technology. Systems Engineering degree from Universidad de los Andes (VE). Certifications include AWS Certified Solutions Architect – Associate and English as a Second Language (Tompkins Cortland Community College).
Bayes’ rule is the mathematics of changing your mind well. You start with a belief. New evidence arrives. You update the belief by an amount that reflects both the evidence and how plausible the idea was before you saw it. That pattern powers spam filters, medical-test interpretation, sensor fusion, A/B testing, and many machine-learning systems.
You have probably seen the diagram: seven boxes stacked from Classical AI at the bottom to AGI at the top, with machine learning, deep learning, generative AI, and agentic AI in between. The diagram is useful. It separates terms that are often blurred together in product conversations. But it also suggests a progression that does…
Not every AI problem needs a neural network. Some problems are not about prediction at all. They are about finding a valid configuration under a pile of rules. If you have ever written nested if statements to validate product options, resolve scheduling conflicts, assign resources, or keep a system from entering an impossible state, you have probably…
Every frontend project starts the same way. Someone creates a repo, installs the framework, adds a basic page, and commits with the message “initial setup.” Then the second developer joins. And the third. And suddenly every file looks slightly different, components live in three different folders depending on who wrote them, and nobody agrees on…
Imagine playing chess against an opponent who never blunders. Not because they’re smart — but because they’ve already simulated thousands of possible futures before making a move. That’s exactly what algorithms like Minimax and Alpha-Beta pruning do. They don’t “think” like humans. They explore the future, assume you’re playing perfectly… and still find the best…
Elastic Beanstalk served us well for years. It allowed us to move fast, abstract infrastructure complexity, and focus on shipping product. But as the system matured, the very abstractions that once accelerated us started introducing operational friction. In this article, we’ll walk through how we migrated a production Ruby on Rails application from AWS Elastic…
Have you faced a problem so large that checking every possible solution is nearly impossible? Consider planning a road trip across many cities or organizing a complex schedule. These problems involve countless combinations. Traditional algorithms often settle too quickly on solutions that seem good but are far from optimal. Simulated Annealing (SA) offers a smarter…
Imagine you’re coding a small robot to escape a maze. Either you make it explore every path until it finds the exit, or give it hints to guess which are the best ones. That little guessing power is what we call a heuristic, and it’s one of AI’s oldest tricks for making computers feel smart.
Imagine this: it’s 2 a.m., you’re deep into some Udemy/Coursera/EdX/Master’s homework, and your coffee is running dangerously low. The assignment? “Implement breadth-first search.” At first glance, it looks innocent—almost trivial. But little do you know, you’ve just unlocked the door to one of the oldest and most fascinating adventures in AI: search algorithms. Welcome, my…
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