Experience

Universidade Federal de Santa Catarina

• Florianópolis e Região, Brasil

• PhD

  • Jul 2019 - Present

  We study the behavior of some very compact and energetic things that affect a whole lot of the underlying physical reality we live in. A.k.a. very small things happening in very very short periods of time. In fact, so small and short that in these scales light takes a long time to travel the distance of an atomic nucleus. The class of theories we work with are deemed "effective" theories (in contrast to "fundamental" ones). In essence this means they are more fun to play with but are restricted to describing the low energy sector of high-energy physics. Still, our studies are published in high-energy physics journals, such as JHEP. This involves working with geometries that can have many dimensions (in some cases even up to 100k dimensions or more) and all sorts of curvature, shapes and some pretty weird and interesting interfaces between spaces, to say the least. In more senses than not, these many-dimensional spaces are very similar to the input and internal spaces of neural networks (NN) used in deep learning. Curiously enough, there's also strong connection (if not fundamental) between NN and a highly successful machine learning class of algorithms called genetic algorithms (GA). Back to our work: we use all these things under different names in order to try and understand the mechanical principles that govern aspects of the physical world. In fact, state-of-the art NN (as of October 2021) mathematical advances were in fact developed by mathematicians trying to solve many-bodies problems in physics. This includes the work of Élie Cartan and Erich Kähler in differential geometry and group theory, and the many Monte Carlo methods for solving many classes of problems. Show less



Sinigaglia Contadores Associados

• Porto Alegre Area, Brazil

• Full Stack Engineer

  • Apr 2012 - Jun 2017

  I developed and accountability system. The idea was to make stages in an already existing pipeline more efficient. Our best result was speeding up a certain stage which used to take about 20 man hour on average down to about 40 seconds. From 2012 to 2014 I developed some core solutions. The contract then evolved to maintenance and small updates only, since I had fully commited to studying Physics BSc at the University. I developed and accountability system. The idea was to make stages in an already existing pipeline more efficient. Our best result was speeding up a certain stage which used to take about 20 man hour on average down to about 40 seconds. From 2012 to 2014 I developed some core solutions. The contract then evolved to maintenance and small updates only, since I had fully commited to studying Physics BSc at the University.



Woodoo Web

• Programador Mobile

  • Dec 2010 - Dec 2011

  Programei como freelancer na verdade, mas muito dentro da empresa. Ótimo ambiente, desenvolvemos neste tempo dois aplicativos para iOS: um aplicativo para a própria Woodoo (Woodoo 4U) e duas edições da Revista Melissa (Grendene), em um framework produzido localmente. Programei como freelancer na verdade, mas muito dentro da empresa. Ótimo ambiente, desenvolvemos neste tempo dois aplicativos para iOS: um aplicativo para a própria Woodoo (Woodoo 4U) e duas edições da Revista Melissa (Grendene), em um framework produzido localmente.