Eliot Andres
Paris, Ile-de-France
Summary
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RockstarEliot Andres is a Paris-based co-founder and former CTO with 11 years of experience building production-grade computer vision and scalable ML systems for consumer-facing photo editing at PhotoRoom. He transitioned from leading engineering to an individual contributor role to focus on high-impact AI problems, bringing hands-on expertise in TensorFlow, large-scale image pipelines (100M+ images/month), and mobile inference (TensorFlow Lite/Core ML). Eliot has a strong engineering foundation from Télécom Paris and École des Ponts, and a track record of cost-efficient GPU training and production deployments that drove real-world product impact. His open-source contributions include fine-tuning CNN models in a Packt-published computer vision repo, reflecting practical model improvements like architectural tweaks to reduce overfitting. Equally comfortable architecting back-end systems handling billions of events and optimizing model pipelines, he blends startup leadership with deep implementation skills.
11 years of coding experience
Github Skills (6)
mask-rcnn10
faster-rcnn10
machine-learning10
tensorflow10
python9
jupyter-notebook9
Programming languages (8)
Github contributions (5)
PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow-2
Dec 2018 - May 2019
Hands-On Computer Vision with TensorFlow 2, published by Packt
Role in this project:
ML Engineer
ML EngineerContributions:27 commits, 6 PRs, 28 pushes in 4 months
Contributions summary:Eliot removed dropout layers and made other changes to the model. This likely involved adjusting the model architecture to improve performance or address overfitting. Their work focused on fine-tuning a Convolutional Neural Network (CNN) model used for image classification within the project, and also involves a modification of the training pipeline.
computer-visiontensorflow
EliotAndres/dotfiles
Jan 2016 - Oct 2020
Contributions:14 pushes, 1 branch in 4 years 9 months
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