Universidad San Francisco de Quito (USFQ)
BEng, Computer Science Engineering
Scholarship-supported undergraduate studies in computer science and software engineering; currently in the final year.
The person behind the work
I grew up in Puyo, in the Ecuadorian Amazon. I build technology and share what I learn, with the ambition to help create world-class technology and companies from Latin America.

I grew up in Puyo, in the Ecuadorian Amazon. Learning about Alan Turing first drew me to computer science, a field where abstract questions could become systems that change what people can do.
A scholarship made it possible for me to study Computer Science Engineering at Universidad San Francisco de Quito. There, curiosity became a discipline I could use to understand problems and build.
When ChatGPT appeared, I wanted to understand how systems like it were possible. I began with machine learning and soon became more interested in the engineering around the model: data, services, evaluation, reliability, and the product decisions connecting them.
Along the way, I worked in the United States through Work and Travel, worked remotely in data analysis and machine learning, helped design SaliHub's data architecture, and spent an exchange semester at the University of Helsinki. Together, those experiences broadened my technical perspective and my sense of what I could build.
That path shapes my mission: to help Latin America keep creating world-class technology and companies. I want to contribute by building, developing technical depth, and sharing useful evidence with other engineers, students, and founders. My specialization and next main project remain open.
Education
BEng, Computer Science Engineering
Scholarship-supported undergraduate studies in computer science and software engineering; currently in the final year.
Exchange studies, Data Science
Exchange semester with a 4.83 / 5.0 average. MSc-level coursework in Engineering of ML Systems, Big Data Platforms, Trustworthy ML, and Software Architectures.