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Industrial PhD Marine Industry · Researcher in Bio-Inspired AI Industrial PhD Researcher (2025–2028) at Deep Insight designing scalable data architectures and production-grade machine learning systems for maritime and IoT environments. Research Team Member of the NEUROCOMP-IA project at Universidad Autónoma de Madrid, focused on bio-inspired neural networks, sparse coding, and adaptive learning dynamics. Previously, I worked for 3 years in the banking sector developing distributed data pipelines, KDB+/q time-series systems, advanced data science models and LLM-based applications.
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HIC
PythonForBiology |
Highlights
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portfolio
portfolio PublicProjects related to data science, data engineering, machine learning, physics, neuroinformatics...
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TFG-EvaluarContendores
TFG-EvaluarContendores PublicResnet50 para detectar contenedores quemados
Python
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PythonForBiology
PythonForBiology PublicThis repository contains the material from Python for Biologist Course
Jupyter Notebook
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HIC
HIC PublicThis repository implements an interactive hierarchical clustering algorithm (HIC), now referred to as the Marcos Clustering Method (MCM). This method enhances traditional hierarchical clustering by…
JavaScript
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praxis
praxis PublicA PySpark-based library for transparent and interpretable machine learning, providing tools to explain model predictions at scale.
Python
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