AI Research Scientist

• Oct 2021 - Present

Research project partially funded by the Innovation Fund Denmark under 2021 ID1044-0044A. The project investigates the development of automated, scalable and cost-effective solutions for blade health monitoring using visual inspections. Hence, we aim to design a data-driven maintenance framework for wind turbines in operation: an end-to-end algorithm capable to transmit faster the images acquired preserving their quality and, subsequently, generate detailed blade assessments to derive a consistent repair strategy. Show less

Data Scientist

• Sep 2019 - Oct 2021

Leading Artificial Intelligence development of the company to perform automated Blade defect assessments. The topics that I have covered include image stitching, multitask object detection,image segmentation, image denoising and image coding.

Industrial PHD Student

• Oct 2021 - Present

Conducting my PhD thesis on the following computer vision problems: image segmentation, image compression and 3D point-cloud reconstruction. Additionally, I am also supervising several BSc and MSc thesis. Conducting my PhD thesis on the following computer vision problems: image segmentation, image compression and 3D point-cloud reconstruction. Additionally, I am also supervising several BSc and MSc thesis.

Teaching Assistant

• Feb 2020 - Dec 2020

Professor of MSc courses - Introduction to Machine Learning, High Performance Computing, Deep Learning. Additionally, mentoring students on their research course projects Professor of MSc courses - Introduction to Machine Learning, High Performance Computing, Deep Learning. Additionally, mentoring students on their research course projects

Junior Data Scientist

• Jul 2018 - Jul 2019

Development and implementation of predictive models and optimization algorithms: CNN model for the detection and determination of olive varieties (IRTA), LSTM model to determine the interest of a reader for an article, banner recommender based on the user similarity, forecasting of technical incidents using ARIMA & LSTM models.

Data Science Intern

• Feb 2018 - Jun 2018

Design and build the first Deep Learning algorithm of the company on a Mobile App. The project included constructing a Face Recognition using Siamese Networks, an API implementation on AWS and the development of the Mobile App using Kotlin.

Research Student

• Feb 2018 - Jul 2019

Simultaneously in the research groups Evolutionary Genomics & Bioinformatics (EGB) and Geometry, topology, algebra, and applications (GEOMAP). Aminoacid implementation of the invariants method for inferring phylogenies (working with multigenic families). Simultaneously in the research groups Evolutionary Genomics & Bioinformatics (EGB) and Geometry, topology, algebra, and applications (GEOMAP). Aminoacid implementation of the invariants method for inferring phylogenies (working with multigenic families).

Teaching support

• Oct 2015 - Jan 2018

Developing tasks related to teaching new students of the Mathematics degree (FME, UPC): doubts resolution, essays and papers edition, problems and notes redaction, tutoring and guiding first-course students. Developing tasks related to teaching new students of the Mathematics degree (FME, UPC): doubts resolution, essays and papers edition, problems and notes redaction, tutoring and guiding first-course students.

Assistant in organization and management of cultural events

• 2012 - 2015