Rodrigo Agundez
Global Head Of Data Science
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolRodrigo Agundez is a Global Head of Data Science with a decade of experience translating deep technical research into production-grade AI and ML systems across consumer and enterprise brands like Dyson and adidas. He holds a PhD in theoretical physics and has a rare blend of strengths in quantum software, MLOps, and web3 development, which he pairs with hands-on backend contributions to notable open-source projects such as Keras preprocessing and Open WebUI. Rodrigo’s career spans leadership and tech-lead roles where he built and productionized models, automated ETL/CI pipelines, and hardened image-generation and upload flows for robust deployments. Known for refactoring legacy code and improving maintainability, he brings an analytical, research-driven approach to pragmatic engineering and solutions architecture. Based in São Paulo, he combines academic rigor with a track record of shipping scalable ML products in global organizations.
10 years of coding experience
12 years of employment as a software developer
Master of Science (M.Sc.) Nanoscience & Nanotechnology, Master of Science (M.Sc.) Nanoscience & Nanotechnology at KU LeuvenBachelor of Science (B.Sc.) Physics, Bachelor of Science (B.Sc.) Physics at Universidad Autonoma de Baja CaliforniaDoctor of Philosophy (PhD) Theoretical Physics, Doctor of Philosophy (PhD) Theoretical Physics at Delft University of Technology
Spanish, English, Dutch, Italian
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (14)
file-handling10
fastapi10
openapi10
python10
image-processing10
refactoring9
webui9
ollama8
ai8
apache-spark6
data-structures6
pyspark6
data-structure6
api-design6
Programming languages (12)
Github contributions (5)
keras-team/keras-preprocessing
Dec 2018 - Nov 2019
Utilities for working with image data, text data, and sequence data.
Role in this project:
Backend Developer
Backend DeveloperContributions:30 commits, 66 PRs, 22 pushes in 11 months
Contributions summary:Rodrigo primarily contributed to the `keras-preprocessing` library, focusing on refactoring and improving the image module. Their work involved removing unnecessary imports, optimizing code by replacing loops with single logical calls, and moving methods to parent classes for code deduplication. The user also standardized arguments, refactored error messages, and implemented features to improve code quality and maintainability.
text-datasequencepythonimage-data
open-webui/open-webui
Jan 2025 - Mar 2025
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Role in this project:Back-end Developer
Back-end DeveloperContributions:13 reviews, 9 PRs, 50 comments in 1 month
Contributions summary:Rodrigo primarily contributed to the backend infrastructure of the Open WebUI project, focusing on image generation features. Their commits included refactoring and improving the image upload and generation processes. The user made changes to the `images.py` and `files.py` files, incorporating functionality such as adding metadata, file extensions, and implementing security measures. These changes likely improved the overall functionality and robustness of the image handling capabilities of the application.
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