On my free time, I love to do AI projects. I have been participating in many AI Challenges, mainly in Kaggle, where I currently have Master rank. I have won the following prizes:- 🥈 Second prize on ARC Prize 2024 (Abstraction and Reasoning Corpus)- 🥇 First prize on DSTL's Safe Passage, a challenge for analyzing satellite images. 2017- 🥇 First prize on Schneider's "Power Laws: Cold Start Energy Forecasting" 2018- 🏆 Kaggle's Best Solution Write-up Authors of 2023- 🥈 Second prize on AI Village Capture the Flag @ DEFCON31 2023- 🥈 Second prize on Animal-AI Olympics 2019- 🏆 WBA prize for the most biologically plausible entry on Animal-AI Olympics 2019- 🥈 Second prize on Schneider's "Power Laws: Optimizing Demand-side Strategies" 2018- 🎖️ 5 prize on Lux AI Challenge 2021- 🥉 3 prize on SE European Hackathon 2022

Podcast about AI in Spanish

Develop state-of-the-art models for:- Face biometrics- Face and document antispoofing- Age estimation

Develop state-of-the-art models for voice biometrics

I developed the core AI system that powered Lynx, The Contactless Counting System. http://www.das-nano.com/lynx/

My work at das-Nano has involved the following activies and fields: magnetic nanoparticles, electronics, artificial intelligence, cad design, simulations, pcb designing, exhibiting in a trade fair...

Eight Week Summer Internship at Hertfordshire University (United Kingdom) during the 2011 summer. My work consisted of providing the humanoid robot KASPAR a tactile artificial skin. FSR pressure sensors and an Arduino board were used. KASPAR is a robot used to help child with autism problems. The aim of this project was to improve the ability of the robot of reacting autonomously in the interaction with the children.

CSIC Introduction to Research Grant during the 2010 summer at IRI (Industrial Robotic Institute) in Barcelona. My work was to redesign the foot of a Robonova robot to make it able to feel the pressure of the floor and obstacles.