The story so far.

At Deeto, my work has evolved from frontend product development into full-stack engineering and agentic AI. I build across the product: interfaces, backend services, AI orchestration, and integrations with OpenAI and Anthropic models.

Working with React, TypeScript, Node.js, and AWS, I take features from architecture and experimentation through to production. LangGraph, tool calling, MCP, and multi-model architectures let me build workflows in which agents access context, use tools, and coordinate tasks.

I work closely with product, customers, and a globally distributed engineering team. Understanding a business problem, deciding what to build, and learning from real usage are all part of the same process.

A promotion brought a wider scope: leading frontend applications across three teams. I balanced competing priorities while staying close to the operational problems behind each project.

For Pymes, I led the work that let sellers update package dimensions and weight themselves. It reduced costs associated with call-center contacts by 6%. With Handshake, I led an application that reconciled deliveries between sellers and carriers, clarifying responsibility and protecting seller reputation. Traffic reached 12,000 requests per minute.

At Mercado Libre, I worked on logistics and seller growth. For the Growth project, I helped build personalized landing pages featuring high-potential items, supported by email and WhatsApp campaigns. The initiative increased the FULL logistics seller base by 21% and was presented to Marcos Galperín.

On Seller Migrations, I developed and maintained features that helped adapt logistics as sellers’ businesses changed. I also helped build a backoffice with charts and tables to monitor those changes and support delivery-point optimization. My contribution extended into the planning behind the logistics changes.

I joined Flexxus as an intern and moved into a permanent position. I developed features with React, GraphQL, Apollo, Node.js, and SQL, and deployed native applications to app stores. The work took me across the stack, from building features to getting applications into people’s hands.

I studied Information Systems Engineering at Universidad Tecnológica Nacional between 2016 and 2020. During those years, I also built DivisaBot, a Python bot that shared dollar exchange rates on Twitter, active from September 2019 to December 2020.