Matilde Rivas is a solutions engineer and computer scientist with nine years of experience building data-driven systems that bridge geospatial analysis, environmental science, and scalable engineering. She has led development and maintenance of an open-source C++ wildfire simulator and built geospatial APIs using FastAPI, PostGIS and GeoAlchemy, bringing scientific models into production-ready tooling. Her background spans applied research, cloud dashboarding on GCP, ETL and MDM pipelines in Azure, and NLP-driven social data analysis—skills she leverages to tackle climate adaptation and mitigation challenges. Comfortable moving between research code and production standards, she champions testing, documentation and reproducible workflows that accelerate cross-disciplinary teams. Based in Santiago, Chile, she combines algorithmic rigor with practical experience in internships, teaching and R&D to translate novel research into impactful, nature-positive solutions.
9 years of coding experience
6 years of employment as a software developer
Engineer's degree, Computer Science, Engineer's degree, Computer Science at Universidad de Chile
🐦AVES: Análisis y Visualización, Educación y Soporte
Contributions:34 pushes, 5 branches in 8 months
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