co-founder

• Apr 2020 - Present

- Winner of the MIT "Beat the Pandemic" Online Hackathon

building polaroo

• Nov 2019 - Present

reviewer

• Aug 2019 - Present

Top 4% among all developers.

software engineer

• Dec 2018 - Nov 2019

- Lead a small team of engineers responsible for the crawling and scraping system that handles 500+ live domains.- I built a scalable, modular and production-ready crawling and scraping system that extracts information from millions+ of URLs per day that is used by the company's clients daily.- Implemented scraping pipelines that perform post-processing tasks to extracted data; such as date and price parsing modules, concurrency-enabled pipeline processing to parallelize data… - Lead a small team of engineers responsible for the crawling and scraping system that handles 500+ live domains.- I built a scalable, modular and production-ready crawling and scraping system that extracts information from millions+ of URLs per day that is used by the company's clients daily.- Implemented scraping pipelines that perform post-processing tasks to extracted data; such as date and price parsing modules, concurrency-enabled pipeline processing to parallelize data treatment, created a regex processing module, among other types of data processing.- Using a git-flow based workflow along with Docker containers for rapidly delivering features to our products.- Contributed to the open-source project `medicaltorch`, an AI-focused project that aims to ease the process of implementing machine learning and deep learning models in the biomedical engineering field using the PyTorch framework. I am currently contributing to ease the 2D cardiac MRI semantic segmentation task. Show more Show less

research assistant

• Sep 2018 - Jul 2019

- Worked along Ph.D. Karim Lekadir and Victor Campello in my bachelor's dissertation titled "Automatic Cardiac Segmentation by Fusing Deep Learning Models". Got the maximum possible grade (10/10).- Got the Everis Awards for best dissertation of my degree. A UPF-Everis issued award.- I implemented an ensemble of convolutional neural networks to perform automatic MRI cardiac segmentation using Tensorflow (1.13).

junior software engineer

• Feb 2018 - Jan 2019

Front-end developer. My work was focused on using Angular and Javascript (ES6) to build a Business Intelligence (BI) analytics tool, using and modifying libraries such as C3.js and D3.js.- Worked on the building of a chart visualization utility for data analysis and real-time analysis on a dashboard focused on business intelligence using Javascript libraries such as C3 and Angular-NVD3. - Worked on the functionality of the aforementioned dashboard utility, such as implementing… Front-end developer. My work was focused on using Angular and Javascript (ES6) to build a Business Intelligence (BI) analytics tool, using and modifying libraries such as C3.js and D3.js.- Worked on the building of a chart visualization utility for data analysis and real-time analysis on a dashboard focused on business intelligence using Javascript libraries such as C3 and Angular-NVD3. - Worked on the functionality of the aforementioned dashboard utility, such as implementing drag and drop features along with a chart creation utility.- Many of the features I have developed have been deployed in a production-ready application that our clients use. Show more Show less

Project Engineer

• Sep 2016 - Jan 2018

Architectural Intern

• Mar 2016 - Sep 2016

Summer Internship

• Jun 2013 - Nov 2013

Worked for several months at Lieber Institute for Brain Development @ John's Hopkins University developing new techniques for cell detection using ImageJ software and Java, mainly focused on Image Segmentation Algorithms.Worked doing some film work as well.After the first internship I got sponsored to go from Barcelona to Baltimore again and keep developing the algorithms to deliver a finished product that could be used in a scientific laboratory environment by other researchers.