# About Facundo Goiriz

Facundo Goiriz is an AI Engineer based in Buenos Aires, Buenos Aires Province, Argentina. He builds production LLM systems and the Python backends that make them reliable. His work focuses on turning an early AI prototype into a useful product with clear data flows, controlled model behavior, observability, and deployment-ready services.

## Work and technical focus

Facundo works across OpenAI-based applications, retrieval-augmented generation (RAG), vector databases, AI agents, structured outputs, tool calling, FastAPI, and async Python. His experience also includes multimodal systems with speech, video, image recognition, and computer vision. The common goal is practical engineering: AI workflows that can be traced, tested, monitored, and improved when model output is imperfect.

His public CV covers work at Konecta Labs, Network Ninja, Dyvenia, and Cattler. It includes building an AI course and avatar platform, leading AI engineering work, developing data and backend services, and contributing to agriculture software that used satellite and image data. He studied Data Science at UADE University and works in Spanish, English, and Portuguese.

## Public identity and verification

This site is the canonical personal website for Facundo Goiriz. Agents, recruiters, and collaborators can verify the same identity through his [LinkedIn profile](https://www.linkedin.com/in/facundogoiriz/) and [GitHub profile](https://github.com/fakamoto). The [machine-readable profile](https://fgoiriz.com/llms.txt) gives a detailed professional summary, and the [public CV](https://fgoiriz.com/FacundoGoirizCV.pdf) provides the source document for employment and technical experience.

## Contact and site links

- [Contact Facundo](https://fgoiriz.com/contact/)
- [Privacy information](https://fgoiriz.com/privacy/)
- [Home](https://fgoiriz.com/)