I'm an electronics engineer, and for almost twenty years I've worked on critical systems, where failure is expensive. I started out designing radio-frequency electronics and FPGAs for equipment that had to work under extreme conditions. Then I moved into systems architecture, where I learned to look at the whole before the parts.
Artificial intelligence came first through work; a master's degree at Instituto Balseiro, with a thesis on deep learning applied to radar echoes, made it the center of my career. Today I work as AI Principal Engineer at INVAP, where I lead the company's data science and AI group, and I still work on the implementations, from the architecture down to the low level.
In AI I've worked with classical machine learning and deep learning, computer vision, natural language processing and language models, high-performance computing and robotics, and what interests me most is where all of that meets critical systems and signal processing. I care about it working outside the lab, inside real systems: that's where engineering weighs as much as the model.
I taught computer architecture and FPGAs for five years, I take part in panels on AI in critical infrastructure and I maintain fxpmath, an open-source fixed-point arithmetic library for Python. On the blog I'll be adding articles on research and engineering.
Outside engineering, I compose music and take photos.
Electronics engineer, Universidad Nacional de Tucumán, with the gold medal of the National Academy of Engineering · Master in Engineering, Instituto Balseiro · Native Spanish, C1 English.