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Mario García

Engineer

Software engineer. Always trying to learn something new at work. I rather program in the JVM but I'd do it anywhere else eventually. I don't usually start anything without testing it in the first place - there're exceptions of course ;) -

A full moon, testing, having a coffee at Bald Barista, coding, walking downtown, refactoring, and all over again :)

Mario's tools

  • Android
  • Clojure
  • Emacs
  • Git
  • Grails
  • Groovy
  • Java
  • Javascript
  • Linux
  • PostgreSQL
  • RabbitMQ
  • React
  • PostCSS

Not just a pretty face

  • Yump Lab

    A platform to provide a measurable impact on behavioural change for people. It is an immersive and videogame-like web experience, a 9 week program that uses custom made videopills for each individual.

    Go to site
  • control panel hfpredict

    HF-Predict

    #machinelearning #ehealth #timeseries #ICU #wearable

    The first clinically accurate wearable device and machine learning software for predicting Heart Failure (HF) of a patient.

    Go to site
  • Assets Management

    #MACHINELEARNING #RISK #REPORTING #SAVINGS

    Machine-learning assisted risk management platform for multi-million-dollar utilities assets. It crunchs data and output knowledge to mitigate risk the smart way.

  • SeeQuestor control panel

    SeeQuestor

    #machinelearning #video #crime #forensic

    Machine learning powered video forensic analysis platform to help law enforcement agencies solve major crimes.

    Go to site

On the blog

Main officeLa Botánica 4, 1º, 28028 Madrid, Spain
Kaleidos Web SVG sprite