Use of CNNs, TensorFlow and PyTorch in classification and image analysis.
Academic profile
interest in combining computing, data, visual perception, spectral and absorption and the universe.
Background
BSc Systems Engineer
Training with emphasis on computer fundamentals, algorithms, artificial intelligence, machine learning and image processing.
Digital Image Processing
Artificial Intelligence
Machine Learning
Data Structures
Research Interests
building
PyTorch
TensorFlow
Python
Data Analysis
Projects
Publication · Remote Sensing
METHANE-PLUME SEGMENTATION FROM HYPERSPECTRAL SATELLITE IMAGERY VIA MULTIMODAL DEEP LEARNING
An efficient multimodal segmentation framework for methane plume detection in hyperspectral satellite imagery, combining physically meaningful methane enhancement cues with transformer-based RGB features across multiple semantic scales. Evaluated on MPDataset, it surpasses prior state-of-the-art results while achieving a stronger accuracy–efficiency trade-off for scalable real-world monitoring.
Accepted for IEEE International Geoscience and Remote Sensing Symposium 2026
Code not public yet
Publication · Medical AI
Multimodal Vision-Language Transformer for Thermography Breast Cancer Classification
A multimodal vision-language transformer for breast cancer classification from thermal imagery, combining image features with structured clinical metadata through cross-attention. The model is designed to work from a single thermal image regardless of view angle, delivering strong performance and improved sensitivity for early detection scenarios.
Computer Vision
Project Naive Intel Image Classification
Implementation of a deep learning-based classification model to categorize images, leveraging convolutional networks and a structure oriented towards visual recognition.
Healthcare AI
Diabetes classification
Comparison of several classification models to detect the presence or absence of diabetes in female patients over 18 years of age, including a neural network in TensorFlow.
Hyperspectral Imaging
Spectral Image Classifier
Work focused on advanced analysis of hyperspectral images using the Pavia Center dataset, useful for classification tasks in complex remote sensing scenarios.
Data Analytics
Market Analytics: Sales, Genres & Trends
Statistical analysis of the VGChartz video game sales dataset to identify companies, genres, platforms, and dominant trends by region and time evolution
Certificados
NVIDIA
Fundamentals of Deep Learning
Introductory course to the world of deep learning, with a foundation for understanding neural networks, model training, and modern AI applications.
see it yourselfEF SET
English Certificate
Online English certification, useful for strengthening academic and technical profiles and accessing international documentation in computing and research.
see it yourselfStack and tools
Python
PyTorch
TensorFlow
Analytics
Contacto
Ready to collaborate
I am interested in projects related to computer vision, machine learning, data analysis, applied research, thermal imaging, and more.
Open to research
Portfolio ready
Academic profile