I’m an Engineering PhD with almost ten years of experience in research and software development. Despite I started my carrer from a purely scientific and academic perspective, after my PhD I decided to shift my focus towards more applied fields, since I felt I was more interested in the practical application parts of problem-solving.

I consider myself an IT enthusiast, and love understanding and automating things. I am particularly interested in new technologies, especially Machine Learning, Distributed Ledger Technologies and Security. I’m a fan of the aerospatial industry, Physics and Mathematics, open source code, music, design, LEGO blocks and I'm fascinated by the human brain and how things work.

I have always worked on small and medium-sized teams where every member must take ownership on their projects and be able to work without close supervision. Currently I work for an automotive research center where I'm implementing a sensor managing and recording platform to generate training data for machine learning algorithms. Recently I’ve started taking a DevOps role, learning about Docker, Kubernetes, Jenkins and the CI/CD cycle, as well as server managing.

Previously I’ve worked on the development of efficient, real-time collision detection algorithms, multibody simulators applied to virtual assembly and vehicle, machinery and mechanism simulations for hardware-in-the-loop platforms. I have also designed and developed haptic interface hardware and its corresponding control software.

Teaching at the university for four years and writing scientific papers helped me to improve my communication skills, and since I’ve always loved explaining things to others as well as divulgation, I keep trying to make my tiny contribution through my Youtube channel, telling stories about science, technology and development.