Data Scientist · AI Researcher · Open Source Enthusiast
Data Scientist with a background in Computer Science and Master's-level expertise from the University of Granada. Focused on applied research and development in AI and data-driven solutions, particularly machine learning, deep learning, and metaheuristic optimization.
🔬 TFM — Representation Quality in Out-of-Distribution Detection
Master's thesis investigating whether the quality of learned representations impacts Out-of-Distribution detection more than the choice of scoring method. Unified benchmark comparing CNN, hybrid ViT and generative architectures against post-hoc and VAE-based detectors across multiple datasets. Python PyTorch OOD Detection VAE ViT
🧬 Synthetic Data Generator (CVAE)
Pipeline for generating synthetic tabular data using a Conditional Variational Autoencoder, with built-in evaluation by training classifiers on the generated data. Python CVAE Generative Models
🎯 TFG — Metaheuristic Feature Selection
Bachelor's thesis reviewing recent metaheuristics adapted for feature selection, with a comprehensive experimental comparison across wrapper-based approaches. Python Optimization Evolutionary Algorithms
🤖 RAG Agent
Lightweight and modular Retrieval-Augmented Generation agent built with LangGraph and OpenAI. Supports document indexing with FAISS and structured tool use. Python LangGraph OpenAI
🎙️ WhisperTranscribe
Simple and efficient tool for recording, processing, and transcribing audio using Faster Whisper. Python Whisper Deep Learning
