My name is Tiago and I’m a Portuguese robotics engineer, currently living and working in The Netherlands. As a CTO at a startup WELBO I am helping to pioneer the field of social-robotics with one of the first robot receptionists in the Netherlands. On my spare time I like to read about human behavior towards technology and how to integrate it better in our daily lives. I also like to keep up to date with the latest technology trends in order to improve my work. Another interest of mine is the Internet of Things and home automation.

Work Experience


In January of 2018 WELBO was founded from a robotics “Skunk Works” that I started on my previous role.
One of my first duties as CTO was to move our server architecture to the Google Cloud, using Kubernetes clusters.
At the moment I am working on:

  • Improving operations in order to deploy our software quicker to new clients;
  • Moving more robotics services to the power of Cloud Computing.

Robotics and Future Technologies Engineer at Decos

At Decos I started a social robotics company where I led the development of one of the first robot receptionists in the Netherlands, using modern technologies like ReactJs, NodeJs, Docker Agile and Scrum.
I also worked on the development of our doorman robot, which guides visitors daily at the Decos office. I was also actively involved in the acquisition of the first clients.

Research Engineer at Uninova – CA3

At CA3 I started as an intern and left as a research engineer. There I worked on several Machine Learning projects for ESA, namely: IPSIS, FUSION and AVERT.
My coordinator was Dr. Rita Ribeiro, who was mentored by Lotfi A. Zadeh (Fuzzy Logic author).

Teaching Assistant at FCT-UNL

During the last year of my Masters I was a teacher assistant for the course PM (Programação de Micro-processadores) where I assisted 1st year Electrical and Computer Engineering students taking their first steps in C and programming in general.


Master of Electrical and Computer Engineering at FCT-UNL

Specializations in Robotics, Machine Learning (Fuzzy Logic and Artificial Neural Network) and Control Systems. Thesis: Land Cover classification using remotely sensed data from Satellite Images and Fuzzy Inference Systems. Implemented mainly in Matlab.


  1. Fuzzy-Fusion approach for Land Cover Classification
  2. Land Cover Classification from Multispectral Data Using Computational Intelligence Tools: A Comparative Study