Profesor De Robótica E Programação at Colégio Aruã
São Paulo, Brazil
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Summary
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Rockstar
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David Larronda is an experienced educator and developer with 11 years blending robotics, programming and STEM teaching across K-12 and adult cohorts in São Paulo. He designs multidisciplinary curricula and hands-on labs—having built robotics programs, AR/AI apps, and teacher training materials for institutions and international schools. As a practitioner-developer he ships interactive experiences on platforms like Roblox and contributed to major open-source computer vision tooling, adding ICP, normal estimation and camera-trajectory features to Facebook Research’s PyTorch3D. His background in physics, math and chemistry informs a practical, experimental approach to computing education and curriculum design. Comfortable in both classroom and DevOps/backend roles, he bridges pedagogy and production code to scale learning experiences. Colleagues describe him as a pragmatic problem-solver who turns research-grade 3D geometry work into tangible teaching tools.
11 years of coding experience
5 years of employment as a software developer
Especialização , Pós-graduação em Matemática Aplicada a Engenharia e Ciência de Dados, Especialização , Pós-graduação em Matemática Aplicada a Engenharia e Ciência de Dados at Faculdade Focus
Licenciatura, Matemática, Licenciatura, Matemática at Faculdade Venda Nova do Imigrante – FAVENI
Bachelor of Science - BS, Ciências Físicas, Bachelor of Science - BS, Ciências Físicas at University of Buenos Aires
Pós-graduação Lato Sensu - Especialização, Computação Aplicada a Educação, Pós-graduação Lato Sensu - Especialização, Computação Aplicada a Educação at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
Pós AI Engineering , Tecnologia da Informação, Pós AI Engineering , Tecnologia da Informação at Impacta Tecnologia
Técnico, Química, Técnico, Química at Escuela de Educación Técnica N 4 Martin Guemes - Buenos Aires
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo
Contributions:3 reviews, 90 commits, 2 PRs in 1 year 6 months
Contributions summary:David primarily contributed to the development of the CO3D dataset download script, including the addition of a download feature and related functionality. They implemented checksum checks to validate downloaded files, improving the reliability of the data. Furthermore, they refactored the dataset code, which involved updates to core dataset functionality such as bounding box estimation. The user also made enhancements in documentation and build processes by modifying the file links.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Role in this project:
ML Engineer
Contributions:64 commits, 27 comments, 3 issues in 2 years 5 months
Contributions summary:David contributed significantly to the pytorch3d library by implementing and testing various 3D point cloud and camera-related functionalities. Their work includes the implementation of the iterative closest point (ICP) algorithm for point cloud alignment, and the addition of a function to estimate normals of point clouds. The user also developed a function to align and transform camera parameters and introduced the code for creating camera trajectories for visualization purposes. These contributions highlight a strong focus on core computer vision and 3D geometry algorithms within the PyTorch3D framework.
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David Larronda - Profesor De Robótica E Programação at Colégio Aruã