It’s been quite a while since my days learning programming languages by myself with the sole intention of developing a videogame. Of course, I didn’t even know what the word “develop” meant back in those days.
The years went on. I was just a teenager at that time, and I really thought, at some point, it would be easy to program my first videogame, as 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 Science 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 a 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 with the ones I am working with. The language I use the most is Python, but I also code in C/C++, Scala (I especially like the Spark framework), JavaScript, Ruby, BASH (and its suite of tools for text processing like AWK or SED), and I can proudly say I have Perl readability. The last language I’m learning is Rust.
I was an adjunct professor at the Facultad de Matemática, Astronomía, Física, y Computación in the Universidad Nacional de Córdoba for almost ten years, where I was part of different courses:
- Computer Networks and Distributed Systems
- Databases
- Programming Paradigms
- Software Engineering
I’ve also 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:
I worked as a full-time researcher at Mercado Libre, the leading platform in e-Commerce in Latin America, where I researched on representation learning for products in the e-Commerce platform with a special focus on multimodal learning and transfer learning scenarios. During 2023-2024 I did a postdoc at “Université Côte d’Azur” in France, within the Wimmics Team, on Argumentation Mining on medical and computational social sciences domains as part of the Antidote and ORBIS European Union projects. Right now I’m part of the AI research team at the Cybersecurity company Eclypsium.
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 also enjoy the work as a machine learning engineer. I like the whole MLOps process, particularly the setup of APIs to run machine learning models with the corresponding configurations and dockerization of the process. I work as a TopTal freelancer, mostly doing these kind of projects.
Contact
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.