Francisco Garrido-valenzuela
Ph.D. Candidate
Delft, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolFrancisco Garrido-valenzuela is a Ph.D. candidate at TU Delft specializing in Urban AI and computer vision, with nine years of experience blending machine learning, GIS, and transport engineering to decode how people perceive and interact with urban spaces. He develops representation-learning methods to create urban embeddings that fuse image-derived features with human inputs, aiming to elevate imagery as a core data source for urban planning and policy. Prior roles in academia and industry—teaching land-use modeling and building urban planning tools—underscore his ability to translate research into practical GIS and Python-based solutions. He also contributes to the conda-forge ecosystem by improving CI/CD and build processes, reflecting a pragmatic DevOps fluency that helps move research software toward reproducible, shareable packages. Fluent across Python GIS stacks and urban simulation, he combines rigorous engineering training from Pontificia Universidad Católica de Chile with interdisciplinary research at TU Delft.
8 years of coding experience
1 year of employment as a software developer
Master in Engineering Sciences, Transport and Traffic Engineering, Master in Engineering Sciences, Transport and Traffic Engineering at Pontificia Universidad Católica de ChileDoctor of Philosophy - PhD | Understanding Urban Spaces and Behaviors using Computer Vision, Artificial intelligence in urban context, Doctor of Philosophy - PhD | Understanding Urban Spaces and Behaviors using Computer Vision, Artificial intelligence in urban context at TU Delft | Technology, Policy and ManagementHigh School Diploma, School and High school education, High School Diploma, School and High school education at Colegio SSCC Alameda
English, Spanish, Dutch
Github Skills (10)
automation10
conda-forge10
automations10
build-system10
cicd10
bash9
script9
python8
dockers7
docker7
Programming languages (3)
Github contributions (5)
conda-forge/staged-recipes
May 2024 - Aug 2024
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Role in this project:
DevOps Engineer
DevOps EngineerContributions:2 reviews, 4 PRs, 17 comments in 3 months
Contributions summary:Francisco's primary contributions revolve around modifying build and deployment scripts within the conda-forge/staged-recipes repository. Their work includes updating build steps, modifying CI/CD configurations, and integrating new tools for artifact inspection. They also made changes to the setup files, likely to adjust build configurations. The user's contributions focus on improving the build process and ensuring the proper creation of conda packages within the conda-forge ecosystem.
placeconda-forgerecipescondasubmit
TUD-CityAI-Lab/staged-recipes
May 2024 - Aug 2024
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Contributions:84 pushes, 8 branches in 3 months
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