Gatsby Starter Procyon

Cristóbal Silva

ML Engineer @ Landing AI

Electrical Engineer, Universidad de Chile

cristobal _at_ canas.ml

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In a nutshell...

Cristóbal, who from now on will be known as Canas for the rest of this page, is a combination of:

  • Videogames
  • Machine Learning & Computer Vision
  • Chicken Nuggets & Redbull
  • Python Programming (figures, Im a snake according to chinese horoscope 🙃)
  • Memes

in no particular order.

I come from a cold town

hometown

Source: Wikipedia. Yes, I have my own images but they don’t look THAT good.

I was born in Punta Arenas, Chile, a city known for being one of southernmost cities in the world. While growing up in such a remote peaceful town like this has its benefits, I was always struggling due to its isolation from the rest of the country. Fortunately, I had internet access ❤ (albeit satellital) which kept me connected with the rest of the world during my teenage years.

Once I finished highschool, I went to Santiago, Chile, where I got my B.Sc. degree in Electrical Engineering from Universidad de Chile, specializing in Computational Intelligence and Robotics. Since then I have worked non-stop on Machine Learning related topics in academia and industry.

I love videogames

Im a videogame enthusiast since I have memory, and I have now doubt that it correlates with my enthusiasm for data science and machine learning. From Atari to Nintendo Switch, Im fascinated with the stimulus videogames provide, either from a great story, an awesome soundtrack, beautiful art, or simply fun/challenging gameplay.

vg-channel

Thumbnails of Vagos de Sofá, a Let’s Play YouTube channel I hosted with a friend for some years.

I did consider for some time working for the videogame industry as a programmer, but after working as an intern in a big game company I realized that my hobbies and career aspirations were different.

I want to bridge academy and industry

In the last few years, a lot of effort has been put into democratization of knowledge in Machine Learning and related areas. Thanks to this, today we have amazing frameworks and courses (most of them at no cost) that help us understand and apply concepts much faster than it was possible before. Unfortunately, there is still a lot of work left to do when it comes to actually deploying and providing value using those concepts in many industries.

ml-talk

Presenting ML results at Falabella

volunteer

Volunteering for Educational Robotics

To help with this task I try to get involved in activities that can inspire school and college students to be part of the changes that will forge the technology of the future (Beauchef Machine Learning, volunteer work, teaching assistantships, etc.). Additionally, the more people we have trained in these areas, the more Chile will be able to easily adapt to advances in the rest of the world.