Iván de Paz Centeno

I’m a PhD-level Artificial Intelligence specialist focused on designing and deploying applied AI systems that actually work in production.

My work sits at the intersection of Large Language Models, applied machine learning, and AI system architecture. Over the past years, I’ve led and implemented AI solutions across both industry and research, ranging from energy analytics and predictive maintenance to LLM-based assistants, retrieval-augmented generation (RAG) systems, and agent-based workflows.

I’m currently the Founder and CEO of RelevAI, where I help organizations design, build, and deploy AI-powered solutions tailored to real business needs. Previously, I served as Chief Artificial Intelligence Officer at SMARKIA Energy, leading enterprise-wide AI strategy and execution within a large-scale SaaS environment.

My background includes an industrial Ph.D. in Artificial Intelligence, developed in close collaboration with industry, where I focused on time series analysis, forecasting, anomaly detection, and scalable AI pipelines for energy systems. This experience shaped a strong research-to-production mindset that continues to guide my work today.

Technically, I work primarily with Python and modern AI stacks, including machine learning, deep learning, NLP, and LLM-based architectures. I have hands-on experience designing end-to-end AI systems, from data processing and model development to deployment, monitoring, and integration into existing platforms.

Beyond client work, I remain active in research, with publications in international journals and conferences, and I enjoy contributing to open-source and technical communities. I approach my work with a strong focus on clarity, maintainability, and real-world impact.

I consider myself a pragmatic technologist: research-driven when needed, product-oriented by default, and always curious about how emerging AI capabilities can be turned into robust, usable systems.