Cyril Equilbec
Data Scientist
Paris, Ile-de-France, Singapore
Summary
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Top SchoolCyril Equilbec is a Data Scientist with eight years of experience applying deep learning to high-impact domains, currently building ML solutions at Us2.ai from Paris with ties to Singapore. He has hands-on expertise in medical imaging segmentation, somatic variant calling, and model compression techniques gained through research roles at Qritive, SGInnovate and Dassault Systèmes. Comfortable across the ML lifecycle, he has deployed models on AWS using Docker and worked with PyTorch/Detectron2, knowledge distillation, quantization and pruning to meet real-world inference constraints. A quantitative finance-trained ingénieur (ranked 1st in his class) who excelled at École Polytechnique, he blends strong theory with production-focused engineering. Notably, his work improved state-of-the-art results in somatic mutation detection, showing an ability to translate research advances into practical improvements.
7 years of coding experience
Academic Exchange, Academic Exchange at Tecnológico de MonterreyMaster 2 (M2), Data Science, Master 2 (M2), Data Science at École PolytechniqueMEng, Quantitative Finance, GPA of 4, ranked 1st/71, MEng, Quantitative Finance, GPA of 4, ranked 1st/71 at ECE Paris
English, Spanish
Github Skills (84)
python10
feature-extraction10
deep-learning10
tflite10
efficientnet10
yolov510
statistics10
multibox10
onnx10
object-detection10
data-science10
tensorflow10
ultralytics10
pytorch10
ios10
Programming languages (4)
Github contributions (5)
Cyril9227/cyril9227.github.io
Aug 2024 - Jan 2025
Contributions:187 pushes, 1 branch in 4 months
Cyril9227/Keras_AttentiveNormalization
Aug 2019 - Feb 2020
Unofficial Keras implementation of the paper Attentive Normalization.
Contributions:19 commits, 1 PR, 18 pushes in 5 months
deep-learningkerasnormalizationtensorflow
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