Hugo Romero

Hi, I'm Hugo

I turn business strategy into AI architecture that ships.

Built on critical thinking and direct execution.

Whoami
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AI Engineer & Architect

With a Computer Science and Business Administration background, built on critical thinking and direct execution.

I focus on defining how AI systems are built, designing the governance frameworks that make AI work across the company, and connecting technical decisions to real business outcomes.

AI Architecture Diagram Hugo Romero
  • Google Cloud
  • Kubernetes
  • LangGraph
  • MCP
  • n8n
  • Pydantic AI

What I Do

I lead the AI Architecture and Innovation team at Orange, a transversal role with scope across engineering, infrastructure and company wide AI strategy.

The work covers production agentic systems, enterprise AI infrastructure, cost governance and the shared foundations that let teams across the company build on top of.

Agentic Systems

Agentic systems built to run in production, not just in demos. Real architectures with observability, cost controls, and the engineering rigor to keep them running at scale.

AI Governance

Governance frameworks that let teams move fast without losing control. Budget caps, RBAC, prompt versioning, and the structures that keep AI usage predictable at scale.

Architecture & Strategy

Turning company wide AI strategy into technical decisions that hold up in production. From infrastructure design to the shared standards teams build on top of.

Experience

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Orange Madrid, Spain
2026/03 - Present

Promoted to lead a transversal AI Architecture and Innovation team designed to drive impact from team level to company wide, translating business needs into architectural decisions and setting the technical direction for agentic and enterprise AI systems at scale.

key Key Highlights:

  • Promoted to lead a transversal AI Architecture and Innovation team with company wide scope
  • Defining AI architecture standards and best practices across all engineering levels
  • Deploying production agentic systems implementing industry standard protocols
  • Python
  • LangGraph
  • ADK
  • MCP
  • A2A
  • GCP
  • Terraform
  • Kubernetes
  • LiteLLM
  • Gemini Enterprise
  • Vertex AI
  • FastAPI
  • Pydantic
  • ArgoCD
  • GitHub Actions

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Orange Madrid, Spain
2023/09 - 2026/03

Worked at the forefront of Generative AI and agentic systems, developing production-ready solutions in a fast-moving environment, combining technical execution with constant stakeholder engagement to define scope and address real business cases.

key Key Highlights:

  • Established best practices for agentic development and AI architecture in a SOTA GenAI environment
  • Built comprehensive MLOps pipelines in GCP covering the full ML lifecycle
  • Created and maintained Terraform modules for cloud-native AI infrastructure
  • Python
  • LangGraph
  • MCP
  • GCP
  • Terraform
  • GitHub Actions
  • Kubernetes
  • LiteLLM
  • Azure OpenAI
  • Pydantic
  • FastAPI
  • ADK
  • Vertex AI
  • ArgoCD

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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
  • Python
  • Genetic Algorithms
  • Machine Learning
  • Data Analysis
  • Pandas
  • Association Rules
  • Binary Logic

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Universidad Carlos III de Madrid (UC3M) Madrid, Spain
2019/12 - 2020/04

Python programming oriented to Game Theory, researching disruptive solutions for fair equilibria in complex incentive distribution environments.

key Key Highlights:

  • Developed Python solutions for Game Theory problems
  • Researched and implemented disruptive solutions for fair equilibria
  • Worked on complex incentive distribution systems
  • Python
  • Game Theory
  • Pandas
  • Data Analysis
  • Algorithm Design

Get in Touch

I'm always open to new opportunities and interesting conversations

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