Welcome to my personal workspace. I bridge the gap between high-level enterprise strategy and hands-on AI engineering. With over 25 years of experience leading global media operations for industry giants like Disney and Fox, I specialize in transforming legacy creative supply chains into high-margin, cloud-native and local inference deployment ecosystems.
As an AI Expert at Microluma, I spearhead the integration of intelligence layers into existing scientific hardware. This software-defined approach unlocks advanced machine learning capabilities from current technical baselines, democratizing access to high-precision automation.
Visit Microluma.euAs a self-employed consultant, I architect sovereign, decentralized knowledge systems. A primary focus is my work on federated pathology inference clusters, orchestrating local nodes across distributed NVIDIA Blackwell hardware using Mixture of Experts (MoE) architectures and secure Tailscale networking. I also develop advanced open-source audio description pipelines leveraging Visual Language Models (VLMs) and voice synthesis.
End-to-end design and production deployment of AI tools, including Local Inference Clusters, Prompt Engineering, and Retrieval-Augmented Generation (RAG).
Orchestrating multi-region hybrid cloud environments across AWS and Microsoft Azure, alongside distributed compute clusters.
Hands-on coding in Python and TypeScript/React, utilizing Domain Driven Design (DDD) for API pipeline orchestration.
Human Centric & Domain Design Driving
Decades of experience in P&L management, margin optimization, and cross-functional global team leadership.
A decentralized knowledge aggregation system for pathology utilizing MedGemma as a foundational model. Built for privacy, utilizing local inference nodes and specialized hardware.
View Project DetailsProfessional editor utilizing visual language models and voice synthesis for media accessibility.
Coming SoonMy approach to building intelligent systems is deeply rooted in my early education. I hold a Bachelor's Degree in Physics from Universidad Complutense de Madrid, which provided the foundational mathematical framework I use for complex machine learning architectures today. Most recently, I formalized my advanced deep-learning expertise by completing the Generative AI Engineering Fellowship Master's Program at Outskill.