Resume

Please find attached a .pdf version of my resume

Education

• CPGE Lycée Henri IV MPSI/MP, *France, 2018 - 2020
• MSc of Computer science at CentraleSupélec, France, 2020 - 2024 (expected)
• MSc of Applied Maths for Machine learning, MVA at ENS Paris-Saclay, France, 2023-2024 (expected)

Work experience

3D Computer Vision R&D intern, Stryker (Feb 2023-Aug 2023)

Stryker is a medtech company.

Techs:

Pytorch, Weights & Biases

Data scientist, Polygon (Aug 2022 - Jan 2023)

Polygon is a Startup in the US.

Techs:

AWS

Topics

• Deep learning:
  • Classical Machine learning:
    • Regression, SVM
    • XGBoost, Light GBM, CatBoost
    • SHAP values, Anchor, LIME
  • Computer vision:
    • Image classification and regression
    • GAN, VA
    • Perceptual loss, neural style transfer, super-resolution
    • Object detection: RCNNs, YOLOs
    • Semantic segmentation
    • Key points detection
    • Few shot learning
  • Text & Images
    • CLIP, CLIP Seg, SAM
    • Diffusion models: Stable diffusion, Dreambooth, ControlNet
  • NLP:
    • Text classification
  • Speech:
    • Voice activity detection
    • Speech-to-text
  • Time series:
    • Time series classification
    • Breakpoint detection
  • Other:
    • Uncertainty estimation
    • Spiking Neural nets
• Frameworks:
  • Pytorch, Tensorflow
  • Pandas, Numpy
  • Sklearn, OpenCV
  • Plotly, Streamlit
• Techs:
  • Python, R
  • Bash, Linux
  • Docker
  • AWS
  • Jupyter
  • Git
  • Weights & Biases
  • LaTeX