Applied Machine Learning

The bulk of my academic and industry activity is focused on computer vision. These are some questions that I am addressing. Of course, different data, different contexts.

Time series and biosignals are crucial in healthcare for continuous monitoring, early detection of anomalies, and personalized treatment plans.

Earth observation satellites generate a lot of data and most analytic solutions are automated. I briefly touched two sensitive areas of research in this field, the cloud detection and land labeling.

Other interests

I ventured into PCB design as a software engineer, to bridge the gap between software and hardware, gaining a holistic skill set crucial skills but also to tap into every IoTa of performance potential.

Around 2021 I embarked into a short adventure in blockchain. The project was pretty awesome. LBRY is a place where users can find great videos, music, ebooks, and more: imagine a vast digital library that is available on all of your devices.

In some of my roles, I utilized Java EE and Python Django to create and maintain web applications. An example is here: