Artificial Intelligence
Designing and implementing production-oriented machine learning and deep learning models. From supervised learning to deep neural networks and generative AI, with a focus on measurable results.
About
Currently developing production-ready AI & Data systems at INDITEX, where accuracy and scale are not optional. Beyond work, I keep building and experimenting — because the best way to understand something is to build it.
02 / PRACTICE
What I work on
Data Engineering
Robust and scalable data architectures as the foundation of any intelligent system. Efficient pipelines, streaming processing with Apache Kafka, and structures ready to grow without friction.
Systems Engineering
Developing clean, modular, and maintainable architectures. Well-designed APIs, microservices with Docker, and coding standards that withstand the test of time and team changes.
Product Vision
Quality engineering starts with deeply understanding the problem. Every system I build starts with a clear question: what does the user actually need, and what does it mean to solve it well?
03 / BACKGROUND
From learning to building
AI & Data Engineer — INDITEX
via Plexus Tech
AI & Data Engineer — Plexus Tech
Consulting for various clients
Author "Programming and Data Mining" - Universidad Europea
Master's in Cybercrime, Universidad Europea
Degree in Intelligent Systems Engineering
Universidad Intercontinental de la Empresa (UIE)