Sebastian Barrios | Artificial Intelligence and Engineering Philosophy at Mercado Libre

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Today I spoke with Sebastián Barrios, CTO of Mercado Libre, the largest technology company in Latin America. Before MELI, he founded Yaxi, the first private transportation app in Mexico, which he later sold to Cabify, where he was CTO for 4 years. In this conversation we talked about how to lead technology at massive scale, how Mercado Libre builds AI tools internally such as Verdi, and why he believes we will see unicorn companies led by a single person using AI.

1:22 - Starting a Company as a Teenager and the Origin of Yaxi

From a young age, Sebas built electrical circuits and developed apps out of curiosity.

  • What was his education like and how did it influence his interest in technology?
  • What did he learn from launching his first app with no expectations and seeing it scale to 13 countries?
  • Why did he decide to found a ride-hailing company before Uber arrived in Mexico?

He learned to code with free online resources and formed a team with friends.

  • How did they create an MVP without drivers and scale the operation with a call center?
  • How did they convince traditional drivers to try an app from scratch?

12:02 - From Startup to CTO of Cabify and Then to MELI

Yaxi surpassed Cabify in rides in Mexico with only 6 people in operations.

  • What decisions made it possible to operate with extreme efficiency?
  • How did they automate penalties, payments, and invoicing from day one?
  • What did he learn from being acquired by Cabify and leading its technology for 4 years?

At Mercado Libre, he leads 15,000 developers while maintaining speed and a startup culture.

  • What stereotypes about technology corporations were broken when he joined MELI?
  • How is the culture of speed, detail, and risk maintained in such a large company?

24:00 - Artificial Intelligence: Philosophy, Practice, and Real Cases

Mercado Libre has used AI for more than 15 years for search, fraud, and logistics.

  • What changes did the era of generative models such as LLMs bring?
  • Which current use cases are already generating real value?

They created Verdi, their own platform for producing AI solutions.

  • Why did they decide to build instead of buying tools such as LangChain?
  • Which cases are built on Verdi inside MELI today?

Sebas believes there is still no “killer use case” for GenAI in production at large scale.

  • What limitations exist today in accuracy, cost, and reliability?
  • How do they define at MELI what to build with AI and what not to?

38:15 - The Future: One-Person Companies and Experiences Without an Interface

Sebas predicts that we will see unicorn companies created by a single person with AI.

  • How does he believe AI will change the way digital products are built?
  • What role does access to organized data play as a competitive advantage?

For him, the best interface is the one that does not exist: the goal is to reduce friction.

  • How does he imagine online shopping in 10 years with augmented reality and intelligent agents?
  • How does this relate to the mission of giving people more quality time?

Episode Mentions

You can find Sebastián on LinkedIn Discover More from the Startupeable Podcast

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