Marco Cabrera

Marco Cabrera

AI Engineer from Tenerife 🇮🇨

ML Engineer specialized in production pipelines and MLOps.
Co-author of AI healthcare research published in Computer Methods and Programs in Biomedicine. Building systems from RAG to CNNs for defect detection.

See My Work

About Me

Machine Learning Engineer

Nartex Software

Aug 2023 – Present

Led a RAG pipeline with Transformers and FAISS for legal document classification (93% accuracy). Built large-scale ETL pipelines with Airflow, CNNs for industrial QA, Dockerized models, deployed on Kubernetes, and implemented MLOps observability and automation using Prometheus, Optuna, and MLflow.

Junior AI Researcher

University of La Laguna

Nov 2022 – Jun 2023

Co-authored a scientific paper on surrogate models for clinical decision support systems (T1DM). Built ML-based surrogate models achieving IoU > 0.9, reducing simulation time by 2700x while maintaining accuracy.

Featured Projects

RAG Pipeline for Legal Docs

Implemented a Retrieval-Augmented Generation system using FAISS and Hugging Face to classify legal documents with 93% accuracy.

PythonTransformersFAISS
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Scientific Publication: Surrogate Models for T1DM

Co-authored a peer-reviewed paper on replacing complex HTA models with surrogate machine learning models for clinical decision support in type 1 diabetes mellitus.

ResearchMLHealthcare AI
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Products

AI Digital Products Guide

AI Digital Products Guide

Step-by-step guide to create and sell digital products using AI. Includes a 7-day plan, prompts, templates and lifetime updates.

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Mini Guide: Sell Digital Products with AI

Mini Guide: Sell Digital Products with AI

Quick and practical ebook on how to launch your first AI-powered digital product in under 7 days. Ideal for creators and indie hackers.

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Latest Posts

Mini Guide: Sell Digital Products with AI

Aug 6, 2025

Sell digital products powered by AI in days. Learn tools, strategy, and monetization.

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Launching My First AI Product on Gumroad

Aug 5, 2025

How I built and launched my first AI product in just 7 days using ChatGPT, Notion, and Gumroad.

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