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Table of contents

Basics

Name Iván de Paz Centeno
Label PhD in Artificial Intelligence · Founder of RelevAI & AI Consultant · Former Chief AI Officer
Url https://ipazc.com/
Summary Iván de Paz Centeno founder of RelevAI S.L. is a PhD-level Artificial Intelligence specialist with a strong background in applied AI, Large Language Models, and AI system architecture. He has led and implemented AI solutions across industry and research, ranging from energy analytics and predictive maintenance to NLP, RAG systems, and agent-based LLM workflows. Iván combines deep technical expertise with strategic vision, delivering production-ready AI systems for real-world impact.
Summary short PhD in Artificial Intelligence, Founder of RelevAI & AI Consultant specialised in LLMs, RAG systems, and applied AI architectures.

Work

  • 2025.05 - Present
    Founder & CEO / AI Consultant / Technology Implementer
    RelevAI, S.L.
    Design, development, and deployment of applied artificial intelligence solutions with a strong focus on Natural Language Processing and Large Language Models.
    • Designed and deployed LLM-based solutions including retrieval-augmented generation (RAG) systems and domain-specific assistants.
    • Evaluated, fine-tuned, and integrated large language models into production-ready systems.
    • Developed bespoke AI-powered software solutions addressing concrete business and operational needs.
    • Designed and deployed scalable AI system architectures for experimentation, testing, and production workloads.
    • Provided AI consulting services translating business needs into robust, maintainable technical solutions.
  • 2024.10 - 2025.04
    Chief Artificial Intelligence Officer (CAIO)
    Smarkia Energy S.L.
    Led enterprise-wide AI strategy and implementation, focusing on LLM-driven automation, decision support, and AI-enabled SaaS evolution.
    • Defined and executed the corporate AI roadmap, delivering multiple AI initiatives focused on automation and decision support.
    • Designed and implemented LLM-based automation platforms, reducing manual workflows from weeks to hours.
    • Co-developed natural language interfaces enabling intelligent interaction with the SaaS platform.
    • Implemented multi-agent LLM workflows to automate internal processes across departments.
    • Acted as the company’s AI interface with clients, partners, and external technology providers.
    • Analysed AI regulations and contributed to legal and compliance alignment of deployed solutions.
  • 2023.07 - 2024.10
    AI Research Team Lead
    Smarkia Energy S.L.
    Leadership and execution of applied AI initiatives for energy analytics, forecasting, anomaly detection, and predictive maintenance.
    • Led an AI research team composed of PhD-level researchers, coordinating work with product and development teams.
    • Analysed data from hundreds of inverters across approximately 900 photovoltaic plants.
    • Designed and implemented ML and DL models for forecasting and anomaly detection.
    • Developed AI prototypes for energy consumption and production optimisation.
    • Ensured integration of research outputs into the company’s SaaS platform.
  • 2018.07 - 2023.07
    Principal Researcher (Industrial PhD)
    Smarkia Energy S.L.
    Industrial PhD focused on AI-based energy optimisation, forecasting, and predictive maintenance.
    • Designed AI-based proof-of-concept solutions for energy management and optimisation.
    • Developed novel ML and DL techniques for time series forecasting, reconstruction, super-resolution, and anomaly detection.
    • Processed and analysed large-scale energy datasets exceeding 100,000 time series.
    • Designed anomaly detection architectures supporting public–private R&D funding acquisition.
    • Implemented forecasting systems enabling near real-time inference across energy assets.
    • Participated in the deployment of scalable cloud-based AI solutions.
  • 2016.04 - 2018.03
    Researcher / Technology Implementer
    University of León / INCIBE
    Applied research in computer vision and machine learning for cybersecurity and security-related applications.
    • Developed AI techniques for image processing, classification, and regression.
    • Specialised in face detection, face recognition, and age and gender estimation.
    • Designed computer vision models suitable for real-world operational environments.
    • Packaged and deployed AI models as REST APIs for external integration.

Education

Skills

Artificial Intelligence
Machine Learning
Deep Learning
Large Language Models
Retrieval-Augmented Generation (RAG)
Agent-based architectures
Natural Language Processing
Text representation
Classification
Information extraction
Domain-specific assistants
LLM fine-tuning
Data & Time Series
Time Series Analysis
Forecasting
Anomaly Detection
Predictive Maintenance
Feature Engineering
Software & MLOps
Python
C/C++
AI system architecture
Model deployment
Monitoring and versioning
Research-to-production workflows

Certificates

Convolutional Neural Networks
DeepLearning.AI (Coursera) 2018-11
Structuring Machine Learning Projects
DeepLearning.AI (Coursera) 2018-06
Improving Deep Neural Networks
DeepLearning.AI (Coursera) 2018-05
Neural Networks and Deep Learning
DeepLearning.AI (Coursera) 2018-05

Publications

Awards

Languages

Spanish
Native
English
C1 (Fluent)