André Araujo
Senior Staff Research Scientist Tech Lead Manager at Google
São Paulo, Brazil
Summary
🤩
Rockstar🎓
Top SchoolAndré Araujo is a Senior Staff Research Scientist and Tech Lead Manager at Google DeepMind with 11 years of experience applying computer vision and machine learning to real-world retrieval and instance-recognition problems. He holds a PhD from Stanford and has led influential research (DELF, Detect-to-Retrieve, DELG) that bridges academic impact and production-quality systems. At Google he has progressed from senior engineer to leadership, driving applied research and engineering around local image features and large-scale landmark datasets. An active contributor to TensorFlow Models, he helped implement and maintain the DELF model and integration work for Detect-to-Retrieve, demonstrating both deep research expertise and open-source engineering chops. Based in São Paulo and recognized as a Senior IEEE member, he combines rigorous theoretical grounding with a track record of shipping scalable ML components.
11 years of coding experience
15 years of employment as a software developer
MSc Electrical Engineering, MSc Electrical Engineering at Universidade Estadual de CampinasBSc Electrical Engineering, BSc Electrical Engineering at INSA Lyon - Institut National des Sciences Appliquées de LyonPhD Electrical Engineering, PhD Electrical Engineering at Stanford University
English, French, Portuguese, Spanish
Github Skills (6)
computer-vision10
machine-learning10
tensorflow10
python10
feature-extraction10
deep-learning9
Programming languages (8)
Github contributions (5)
tensorflow/models
Oct 2017 - Apr 2021
Models and examples built with TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:75 reviews, 32 commits, 87 PRs in 3 years 6 months
Contributions summary:André primarily contributed to the implementation and maintenance of the DELF model within the TensorFlow models repository. Their work focused on adding and refining the DELF model, including the addition of the DELF model itself, fixing file reading issues for Python 3 compatibility, and making small polishing changes to the existing DELF code. The user also worked on integrating and updating the Detect-to-Retrieve code, involving box and feature extraction, and the addition of code for feature aggregation.
deep-learningtensorflow
andrefaraujo/models
Oct 2017 - Apr 2021
Models and examples built with TensorFlow
Contributions:118 pushes in 3 years 6 months
machine-learningtensorflow
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