Projects

(more projects to come…)

Talks

Overview of the data science lifecycle and how the R language can help in each stage.
FLISoL 2018 Tucumán

Discussion of the state-of-the-art AI research, and the safety and ethical considerations for building and working with machine learning systems.
Buró Coworking Meetup

The Tucma Software experience of providing remote software development and tech services from Argentina to Europe, and how to innovate by facing the challenges in a culturally diverse environment.
TucumanValley Meetup

Software development frameworks aren't silver bullets. Discussion of the available solutions and the pros/cons for each type of project.
TucumanValley Meetup

Presentation of the successful implementation of a digital signature solution in the University.
Engineering Week @ National Technological University

Yet another year of books! Ok, in comparison with the previous list, this one is much shorter. 2018 was a great year, full of challenges, work activities and fun, so I didn’t commit too much time to reading.

Without further ado, the books I’ve read were:

CONTINUE READING

Last week I had a great time at the FLISoL 2018 Tucumán. First organized in 2005, the Festival Latinoamericano de Instalación de Software Libre (Latin American Free Software Install Fest) is the biggest event for spreading free software in Latin America and Spain.

CONTINUE READING

For 2017, as part of my yearly planning, I tried to make more time to read several books that I had selected from my list (tsundoku, anyone?). It felt like a good challenge, both in planning and execution, and now I can say it was a great initiative to move forward in both my personal and professional life.

From january to december, I had read the following books:

CONTINUE READING

Working with data is not only about algorithms, feature selection, business domain and all of the other technical topics usually brought up in discussions about the field. The current availability of data and processing power enables us to invent new ways to approach problems in society. Now more than ever, we as tech workers need to think how to act ethically and not just by the law. Fortunately in the past years we saw new initiatives like Fairness, Accountability, and Transparency in Machine Learning, books like Weapons of Math Destruction and courses like Data Science Ethics.

CONTINUE READING

Safety in Machine Learning and Artificial Intelligence is a very active research area. For a quick introduction to the subject in bite-sized chunks I strongly recommend to follow the work of Robert Miles. After gaining popularity in Computerphile videos he has now his own YouTube channel. Computerphile compiled a playlist about AI and Rob is producing a very interesting video series about a paper on concrete problems in AI safety here.

CONTINUE READING

Reading

2019 was a slow year, but I’ve picked up the reading pace on 2020 and 2021. That blog post is coming soon… :) Thank you for your interest.

As always, you can see my list of recommended articles on Medium here.

While you are reading, you can listen to some music (+1100 albums posted) from my Tumblr.