For almost all my career I had been working mainly with Elixir and his ecosystem. I felt I needed to try some other technologies, that is why I decided to make a move to Go.

Paack is a startup focused on logistics. When I entered the company they were trying to expand their backend using Go. This experience allowed me to get a deeper knowledge of SOLID principles, hexagonal architecture and how to approach 24/7 systems without OTP.

I designed and built from the scratch with the help of another workmate the new routing platform. This microservice is in charge of comunicating with the external routing providers, offering a clear interface for other services, hidding the complexity of each routing provider for the rest of the platform.

After being working for a tiny startup for almost three years I wanted to try some kind of bigger company and continue working with Elixir. That's why I decided to join Derivco which is a company with more than 4.000 workers around the world is the software provider for Betway, one of the bigger sportbook around the world.

At Derivco I was part of the Core team in charge of developing and maintain several service in Ruby, Elixir and Go.

One of the main project I worked on was in the migration of a microrservice from Ruby to Elixir. This service was in charge of forwarding changes in the core database, using triggers for listening changes and RabbitMQ as messages broker.

This was my first working experience and a relevant personal step that had allowed me to discover an enyojable professional path. Palmtree Statistics was a tiny startup focused on the development of tools for analysis realtime sports data.

I started at Palmtree as an Intern getting contracted at the end the training period. As intern, I learned about the principles of clean code and professional software development. I worked on the development of a testing environment with Python and Docker.

The telecommunications engineering degree is one the most prestigious engineering degrees in Spain. With a solid base in physics and mathematics, this degree covers electronics to networking design. Through my stage as a student, I learned a solid knowledge about how electronics systems work, from the basics to how to transmit information through air or wire interfaces.

As final degree project, I contributed to an investigation platform called TIE (Traffic indentifications engine) . The objective of this platform is to compare different algorithms for network traffic classification. In my case, I built an algorithm that classifies the traffic based on the size of the packages. A clustering algorithm called K-means was applied built in C.

This master is the final step for the telecommunication engineering path in Spain. It includes some topics such as optical communications, microelectronics and sotware defined networks.

As final master project , I implemented an artificial neural network system for the premature detection of Alzheimer. The system was implemented in Python, using some libraries such as TensorFlow and NumPy.

The neural network was based on the variational autoencoder. The main idea was being able to reduce the high number of dimensions of an MRI or PET image, to a few dimensions. This will allow the algorithm to capture the intrinsic characteristics to detect the disease.