Paul Feng
Data Scientist Backend Developer
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolPaul Feng is a Paris-based Data Scientist and Backend Developer with 8 years’ experience building production ML and geospatial systems at AXA, from satellite-driven natural disaster assessment to document understanding and handwritten text recognition. He combines hands-on Python engineering and computer vision research with team leadership and a delivery-first mindset, emphasizing quality over quantity. His work spans the full pipeline—data ingestion and location intelligence to model interpretability and fraud detection on PDFs/JPGs—grounded in a biomedical engineering background and early high-resolution imaging projects. Notably, his internship research contributed to a published handwriting-recognition paper and he repeatedly bridges research prototypes into commercial platforms.
8 years of coding experience
Mathemetics, Physics and Engineering Sciences, Mathemetics, Physics and Engineering Sciences at Saint-Louis High schoolBaccalauréat S with honors, Scientific : Mathematic option, Baccalauréat S with honors, Scientific : Mathematic option at Notre-Dame-de-Sion Private High SchoolMaster's degree, Biomedical/Medical Engineering, Master's degree, Biomedical/Medical Engineering at Grenoble INP - PhelmaNeuroscience, Neuroscience at EPFL (École polytechnique fédérale de Lausanne)
French, Chinese, English, Spanish
Github Skills (33)
geocoder9
recurrent9
intel9
onnxruntime9
geocoding9
optimization8
pytorch7
notebook7
hardware7
geopandas7
inference7
geography7
quantization7
machine-learning6
onnx6
Programming languages (4)
Github contributions (5)
PaulQbFeng/too-tanky
Nov 2022 - Jan 2023
Contributions:49 reviews, 265 commits, 29 PRs in 2 months
PaulQbFeng/tf-crnn
Feb 2018 - Jun 2019
TensorFlow Convolutional Recurrent Neural Network (CRNN) using TF's Estimator
Contributions:41 pushes, 2 branches in 1 year 4 months
adversarial-learningdeep-learningconvolutionalrecurrent-neural-networkneural-network
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