Over the past decade, I've helped cities and urban areas improve quality of life through better transportation systems. With a strong background in transportation modelling and advanced data analytics, I use data to understand how people move and make decisions, and how transportation systems can become more reliable, efficient, and profitable.

Throughout my career, I've had the opportunity to collaborate on major infrastructure projects across Latin America and North America, working with interdisciplinary teams that have shaped the way I approach problems. I was also a graduate research assistant at the University of Toronto, working with Prof. Eric Miller on modelling labor markets using machine learning.

Currently, I work at the intersection of transportation planning and data science, combining tools like Python and machine learning with domain expertise in transport modelling and demand forecasting. I enjoy designing data pipelines and creating visualizations that communicate complex ideas to both technical and non-technical audiences, always looking for smarter ways to extract insight from data.

I believe technology can make cities better for everyone. When I'm not working on that, you'll find me learning new things. Right now, I'm deepening my knowledge of how LLMs work under the hood, exploring better ways to improve my 3D prints, and building custom mechanical keyboards with CAD design and electronics.