Computer Scientist & Software Engineer

Machine Learning and Programming Enthusiast

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

    DOI: 10.1007/978-3-030-80223-3_2

  • Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney

    PyDGGA: Distributed GGA for Automatic Configuration

    Theory and Applications of Satisfiability Testing – SAT 2021

    DOI: 10.1007/978-3-030-80223-3_2

  • Carlos Ansótegui, Josep Pon, Meinolf Sellmann

    Boosting evolutionary algorithm configuration.

    Annals of Mathematics and Artificial Intelligence 2021

    DOI: 10.1007/s10472-020-09726-y

  • 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

    DOI: 10.1007/978-3-030-05348-2_27

  • Carlos Ansótegui, Josep Pon, Meinolf Sellmann, Kevin Tierney

    Reactive Dialectic Search Portfolios for MaxSAT.

    Association for the Advancement of Artificial Intelligence - AAAI 2017

    aaai.org (open access)

Software

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