Computer Scientist & Software Engineer
Learning something new everyday
Hi! Nice to meet you. Welcome to my Portfolio.
My background is in computer science and I have been working mainly in the field of Data Science and Machine Learning, implementing and serving intelligent solutions. I have used classical and deep learning techniques, although due to the solutions nature I have been experimenting mostly with the latter, more precisely for tasks related to computer vision (CV) and natural language processing (NLP).
Previous and non-professinal experience include implementing optimization solutions using genetic algorithms, SAT and MIP technologies, and the deployment and maintenance of a high performance computing cluster.
I mostly use Python as it is the de facto language for ML tasks and has plenty of libraries to implement solutions for other domains, but I also enjoy working with other languages and frameworks that look promising.
Technologies & Programming Skills
Publications 
Carlos Ansótegui, Jesús Ojeda, Antoni Pacheco, Josep Pon, Josep Mª Salvia, Eduard Torres
OptiLog: A Framework for SAT-based Systems
Theory and Applications of Satisfiability Testing – SAT 2021
Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney
PyDGGA: Distributed GGA for Automatic Configuration
Theory and Applications of Satisfiability Testing – SAT 2021
Carlos Ansótegui, Josep Pon, Meinolf Sellmann
Boosting evolutionary algorithm configuration.
Annals of Mathematics and Artificial Intelligence 2021
Carlos Ansótegui, Britta Heymann, Josep Pon, Meinolf Sellmann, Kevin Tierney
Hyper-Reactive Tabu Search for MaxSAT.
International Conference on Learning and Intelligent Optimization - LION 2018
Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney
Reactive Dialectic Search Portfolios for MaxSAT.
Association for the Advancement of Artificial Intelligence - AAAI 2017