In love with Deep Learning and Computer Vision. +10 years of experience working for/with startups, dealing with the greatest technical challenges at each.

About Me


I'm an inquisitive person. That curious spirit made me get involved in Startups, found a company, go deep on Big Data and distributed systems and study economy among other things.


At this moment I'm pretty interested on Machine Learning and specifically Deep Learning and Computer Vision.


Below I enumerate some of the achievements that I am most proud of.

Developed a vineyard yield prediction system

  • Camera, light and GNSS RTK integration on ATV for nightly photo capture with precise location. All coordinated and controlled with custom software.

  • Use of Deep Learning object detection and image segmentation models to isolate clusters on images.

  • Generation of a precise yield map.

Handling 4 trillion records dataset

* Design and maintenance of Big Data **infrastructure** for an advertising network. * Design of the **data architecture** for the analytical panels making use of [Splout SQL](http://sploutsql.com/).

Founded two Open Source projects

* [Splout SQL](http://sploutsql.com/) is a **Big Data database** ready to serve big amounts of relational data withing sub-second latency. * With [Tuple MapReduce](http://pangool.net/TupleMapReduce.pdf) we introduced a generalization of MapReduce paradigm by the use of tuples instead of key,value pairs. [Pangool](http://pangool.net) is an implementation of **Tuple MapReduce for Hadoop**.

Founded a Big Data company

* Datasalt was pioneer of Big Data at Spain. * The company was a profitable business. You can read the company story [here (Spanish)](https://medium.com/iv%C3%A1n-de-prado-alonso/lecciones-aprendidas-montando-y-cerrando-mi-startup-de-big-data-afd6d42c0f8d).

Training people on Big Data

* Designing and leading the **Big Data Expert** program at [U-Tad](https://www.u-tad.com/en/) university. * More than **130 professionals** trained during that period. * Great graduate employability.