It’s been quite a while since my days learning programming languages by myself with the sole intention to develop a videogame, of course I didn’t event know what did the word “develop” mean back in those days.
The years went on, I was just a teenager in that time and I really thought at some point it would be easy to program my first game, like if it was a simple thing to do. I was wrong. It’s still hard nowadays, and there are lots of frameworks to facilitate the process of creating videogames. Back then was plainly impossible without a big team. Not at least the kind of games I wanted to create.
I went to college and got my degree in Computer Sciences in 2013. As I finished and wasn’t really aware of what to do with my degree I started a PhD. I finished my PhD in the area of Machine Learning (with focus on semisupervised learning and deep learning) and Natural Language Processing (working on Spanish verb sense disambiguation and legal information extraction) in 2018.
I enjoy coding and learning programming languages in general, and I try new tools when I get bored on the ones I am working with. The language I use the most is Python, but I also code in C/C++, Scala (I specially like the Spark framework), Ruby, BASH (and it suite of tools for text processing like AWK or SED), and I can proudly say I have Perl readability.
I am an adjunct professor at the Facultad de Matemática, Astronomía, Física, y Computación in the Universidad Nacional de Córdoba, where I have been in different courses through the years:
- Computer Networks and Distributed Systems
- Programming Paradigms
- Software Engineering
I’ve also have taught courses in areas more related to my PhD., I was part of the specialization courses on data science and machine learning that is taught at the Diplomatura en Ciencia de Datos, Aprendizaje Automático y sus Aplicaciones (or DiploDatos for short), there I was part of the following courses:
Right now I am a full time researcher at Mercado Libre, the leader platform in e-Commerce in Latin America. I am currently working on representation learning for products in the e-Commerce platform with special focus on multimodal learning and transfer learning scenarios.
Other areas of work, interest and research are:
- Argumentation mining (as part of the MIREL project).
- Recommender Systems (designed one to recommend Magic The Gathering Cards for TappedOut.net).
- Unsupervised Word Representations (creator and maintainer of the SBWCE).
I’m active on Twitter (although I tweet
mostly in Spanish) and now I’m slowly moving to
Mastodon, but for work related stuff,
probably the best way to contact me is through my LinkedIn
Profile. You can also reach me at
my professional e-mail addresses, either via the University e-mail
ccardellino at unc dot edu dot ar) or my Mercado Libre e-mail
cristian dot cardellino at mercadolibre dot com).