01 · Read story
Building a robot that learns on its own
My entry into applied AI: a DeepQ neural network trained in a custom 3D simulation.
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Mateo Ruiz.
I make AI feel handmade, and the handmade scale.
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01 / First project · 2020–2021
Did Roby catch your eye?
Here's more: this project came before the ChatGPT boom. Back then AI meant Python libraries like TensorFlow. What we did was leverage the Deep-Q Learning algorithm through reinforcement learning.
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R0-BB1
The project
02 / Right now
The ERA of Agents
LangGraph and n8n are the protagonists of this cycle. I'll tell you how I applied these technologies to bring companies into the age of agents… but there's an easier way.
TilegraMy agents? I build them with Tilegra.
I'll teach you to create AI agents for your social media in 5 minutes.
Learn for free03 / Featured moments
Three stories to read with time.
Background
My experience
At 26, I had the opportunity to work in IT across North America, South America and Europe. These experiences gave me perspective on how each continent operates, and I also took training to deepen my knowledge.
I currently hold an IT leadership role; even so, I also identify as an AI Engineer because of the work I do. Since this branch of computing is my area of expertise, LangGraph and n8n are my ace up the sleeve when bringing AI into operational processes.
Google HeadquartersMountain View, CA
PapagoScottsdale, AZ
04 / Philosophy and values
“Using AI without losing the human essence.
— 01
Craft
Detail isn't a luxury: it's what sets a correct product apart from a memorable one.
— 02
Honesty
Expressing what I think, even when it's uncomfortable, and flagging when a solution won't be enough.
— 03
Perspective
Keeping a broad view to understand the context before acting, prioritising what matters over what's urgent.
— 04
Play
The best ideas emerge when work keeps room for curiosity and exploration.