PhD Student In Computer Vision (FPU) at Universidad de Zaragoza
Zaragoza, Aragon, Spain
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Summary
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Senior
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Top School
Sergio Izquierdo is a PhD student in Computer Vision at the University of Zaragoza, advised by Prof. Javier Civera, with a focus on 3D reconstruction and deep learning. Based in Zaragoza, Spain, he combines rigorous research with practical ML engineering, reflected in nine years of experience across academia and industry. He has contributed to the cppflow project, building a Model class to load, save, and run TensorFlow models in C++ and integrating OpenCV for image preprocessing, demonstrating a knack for bridging research-grade methods with production-ready tooling. His internship and research stints span Skydio (Deep Learning Intern, 2023) and Niantic (Research Intern, 2024), plus earlier roles at the University of Freiburg and the University of Zaragoza Graphics and Imaging Lab. This blend of hands-on development, model deployment, and advanced computer vision research positions him to translate complex vision concepts into scalable systems. He holds a Master of Science in Computer Science from the University of Freiburg, and has pursued diverse academic experiences through Erasmus at Hochschule Esslingen.
9 years of coding experience
1 year of employment as a software developer
Master of Science, Computer Science, 1.0/1.0, Master of Science, Computer Science, 1.0/1.0 at The University of Freiburg
Erasmus Exchange Program, Erasmus Exchange Program at Hochschule Esslingen - University of Applied Sciences
Computer Science, Computación, 91%, Computer Science, Computación, 91% at University of Zaragoza
Run TensorFlow models in C++ without installation and without Bazel
Role in this project:
ML Engineer
Contributions:2 releases, 3 reviews, 93 commits in 3 years 4 months
Contributions summary:Sergio appears to be focused on implementing and integrating TensorFlow models within a C++ environment. They added a `Model` class to load, save, and run TensorFlow models, demonstrating an understanding of the TensorFlow C API. Their contributions include features for model initialization, saving/restoring, and running inference with tensors. Furthermore, the user demonstrates the integration of OpenCV for image loading and preprocessing.
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