About

I'm a tech entrepreneur, passionate about Artificial Intelligence (AI), in particular, Machine Learning (algorithms that allow computers to automatically learn to perform tasks from data) and Natural Language Processing (algorithms that allow computers to process and understand written and spoken natural languages).

I started in Machine Learning back in 2005, building an artificial Go player with Neural Networks and Reinforcement Learning. That was ten years before AlphaGo used the same principles :)

Then worked on a bunch of companies including programming video games and implementing firmware for implantable medical devices.

In 2007 I started lecturing Machine Learning and NLP as a professor at the Computer Science Institute of UDELAR for 9 years.

In 2009 I co-founded Tryolabs, Python dev shop specialized in building products with AI.

In 2013 I co-authored with PhD Guillermo Moncecchi a technical book about an introduction to applied Machine Learning with Python programming language.

In 2014 I founded and led MonkeyLearn to make Machine Learning and NLP accessible to all companies and users. I raised a total of $4.2m from top tier Venture Capital and angel investors in Silicon Valley. I led all R&D and business operations, selling our product to top companies in the US.

In 2020 I finished my master thesis in Artificial Intelligence, "Data Efficient Deep Learning Models for Text Classification", where I compared multiple state of the art models, including language models.

In 2022 I exited MonkeyLearn to Medallia and joined as Sr Director leading AI research and development.

I'm an active investor, I invest in public markets but also in private companies, particularly tech startups and software product companies. I'm also LP in two venture capital funds, Uncork Capital and Garuda Ventures.