Description

I am an AI & Cloud Engineer specializing in production-grade Generative AI systems, RAG, AI agents, document intelligence, LLM evaluation, and API-based automation.

I help companies design, build, and improve AI systems that are reliable, measurable, and ready for real-world use. My work includes private knowledge assistants, document-processing pipelines, structured-output workflows, AI agents connected to APIs, and automation systems powered by LLMs.

My core stack includes Python, FastAPI, Azure OpenAI, Azure AI Search, Azure Document Intelligence, Docker, REST APIs, CI/CD, monitoring, and observability. I focus on building clean and maintainable systems with strong attention to reliability, scalability, traceability, and production constraints.

I also work as an AI Benchmark Engineer, designing multilingual software-engineering benchmarks to evaluate coding agents, LLM robustness, tool use, reasoning, and failure modes. This gives me a strong perspective not only on how to build AI systems, but also on how to evaluate whether they actually work.

I work fluently in Spanish, French, and English, which is especially useful for multilingual AI evaluation, localization-aware workflows, and international GenAI projects.

Industry field of expertise

Languages

French
Native or bilingual
Spanish
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

LILT AI
AI Benchmark Engineer & Spanish Language Specialist
HEALTH AND WELLNESS
March 2026 - May 2026 (2 months)
• • Build high-signal AI benchmarks to evaluate coding agents on Spanish-language software-engineering and terminal workflows.
• • Create reproducible Docker-based task environments with localized datasets, bilingual instructions, oracle solutions and deter ministic verifiers.
• • Run Claude-based agents in CLI workflows and analyze execution logs, pass@k results, Unicode/encoding issues and locale specific edge cases for benchmark calibration.
Docker artificial intelligence Python Claude
Grupo Oesía
AI Engineer – Generative AI & Cloud Automation
DIGITAL AND IT
June 2024 - Today (2 years)
Madrid, Spain
I design, build, and evaluate production-oriented Generative AI systems for enterprise use cases. My work focuses on RAG architectures, document intelligence, AI agents, API-based automation, and cloud-native AI services.

I work mainly with Python, FastAPI, Azure OpenAI, Azure AI Search, Docker, REST APIs, CI/CD pipelines, and observability tools. I have contributed to AI backends that process documents, retrieve relevant information, generate structured outputs, automate internal workflows, and connect LLMs with business systems through APIs.

I also work on evaluation and reliability aspects of AI systems, including prompt design, retrieval quality, structured output validation, debugging, monitoring, and failure analysis. My focus is to build AI solutions that are not only functional prototypes, but reliable, maintainable, measurable, and ready for real production environments.

This experience also strengthened my ability to communicate technical decisions clearly, work with enterprise constraints, and deliver AI solutions that create concrete business value.
Python FastAPI Microsoft Azure Docker REST
SPHERE
DÉVELOPPEUR FULLSTACK & IA
September 2024 - December 2024 (3 months)
• Full development of a mobile application integrating artificial intelligence to automate real-time voice interactions.
• Use of SwiftUI, Kotlin, and FastAPI to ensure a smooth and scalable experience.
• Design, fine-tuning, and deployment of AI models tailored to user needs.
• End-to-end project management: architecture, cloud integration, strategic partnerships, and generating investor interest.
artificial intelligence Cloud Integration Automatisation FastAPI