I’m a software engineer focused on data science — bridging the gap between predictive modeling and the scalable, user-facing applications that put those models to work.
My background combines full-stack development (React, React Native, TypeScript, and versatile backend work) with hands-on modeling in Python. I’ve architected data-heavy applications end to end: processing large volumes of information efficiently and presenting it intuitively. I particularly enjoy geospatial work — turning complex datasets into fast, interactive maps that make geographic insight obvious at a glance.
I care about clean, reusable code — whether I’m engineering zero-latency frontend deployments for machine learning models or squeezing performance out of an existing system.
Education
Pontificia Universidad Católica
M.S. in Data Science · In Progress
Academia de Guerra
B.S. in Military Sciences
Core Competencies
- Data Science & Modeling: Predictive Analytics, StatsModels, Scikit-Learn, TensorFlow.js, Geospatial Analysis, Quarto, Python.
- Software Engineering: Full-stack Web Development, Mobile Development (React / React Native), TypeScript, Bash.
- Systems & Tools: Linux, Google Cloud Platform, Amazon Web Services, PostgreSQL, MongoDB, Firebase.