Hi, I'm Hugo

I make latest AI trends production-ready, fast, reliable and scalable.

Bridging technical innovation and business strategy to deliver solutions that actually ship.

Full Stack AI Engineer

AI Engineer with a Computer Science and Business Administration background, bridging technical innovation and business strategy to deliver production-ready solutions that actually ship.

I'm passionate about translating complex AI challenges into scalable, production-grade systems that drive measurable value.

I combine critical thinking with hands-on execution, building agentic workflows, MLOps pipelines, and full-stack AI applications that solve high-impact problems at scale.

What I Do

Business-Aligned AI Engineering

• Translate business requirements into architectures that deliver measurable value
• Balance innovation with pragmatism—choosing the right tool for value creation, not hype
• Cut through AI buzzwords to what actually works in production

Production AI Systems

• Agentic automation flows with MCP servers that reduce operational overhead
• MLOps pipelines: training, validation, deployment, monitoring at scale
• Full-stack AI applications with scalable API architectures
• LLMOps governance: prompt versioning, budget controls, RBAC

Infrastructure & DevOps

• Cloud-native AI infrastructure (Terraform, GCP, Kubernetes)
• CI/CD pipelines for AI systems (GitHub Actions)

Experimentation

• Evaluate SOTA frameworks (LangGraph, multi-agent) for production viability
• Balance performance with cost—no trend-chasing

Experience

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Orange Madrid, Spain

2023-09 - Present

Developing agentic flows for task automation with MCP servers, building MLOps pipelines in GCP, and creating full-stack AI applications with scalable APIs.

key Key Highlights:

Developed agentic flows for task automation using MCP servers
Built MLOps pipelines in GCP for model training, validation, deployment, and monitoring
Created AI-oriented CI/CD automation with GitHub Actions

Python
LangGraph
MCP
GCP
Terraform
GitHub Actions
Kubernetes
LiteLLM
Azure OpenAI
Pydantic AI

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MasMovil (MasOrange) Madrid, Spain

2023-03 - 2023-09

Developed reactive Java workflows, integrated with government SOAP APIs, and contributed to MasStack cloud-native platform with 100+ developers.

key Key Highlights:

Developed reactive workflow systems in Java for MasStack platform
Integrated with official government SOAP APIs
Collaborated with cross-functional teams in a 100+ developer project

Java
Reactive Programming
Cadence
Kubernetes
Git
Microservices
SOAP APIs
Cloud Native

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Universidad Carlos III de Madrid (UC3M) Madrid, Spain

2022-09 - 2023-08

Research on evolutionary genetic algorithms for association rule extraction in customer profiling, including development of custom binary logic algorithms for massive data processing.

key Key Highlights:

Researched evolutionary genetic algorithms for extracting association rules for customer profiling
Developed custom binary logic algorithm for massive customer data processing
Analyzed customer contracting trends for cross-sell opportunities using innovative techniques