You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Mathieu GierskiMG

Mathieu Gierski

Machine Learning Engineer

500 €/jour
Paris, FR
0-2 ans

Délai de réponse moyen : 1h

À propos de Mathieu

As a graduate of École Polytechnique and AI enthusiast, I specialize in building end-to-end machine learning pipelines. I have experience working on diverse projects, including developing BERT-based pipelines for document classification, designing Graph Neural Networks to process graph-structured data, and applying vision models for segmentation and classification. Through my extensive background in science and curiosity, I am committed to find SOTA solutions effectively.

I am used to handling various types of data and I have recently published a paper on the use of GNN for housing market price predictions. I take projects from dataset exploration through model design, training, and deployment, ensuring efficient and impactful solutions. Let’s collaborate to turn your data into powerful insights and business strategies!
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Chinois

    Capacité professionnelle limitée

  • Espagnol

    Capacité professionnelle limitée

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Kili Technology
    Machine Learning Internship
    mai 2024 - octobre 2024 (5 mois)
    Paris, France
    Implemented a diagram generation pipeline to cre ate flowcharts from text for a patent generation tool. Designed custom metrics to assess text-flowchart similarity beyond LLM-based evaluation. Managed a document classification pipeline, collabo rating directly with the client company. Used TF-IDF and BERT fine-tuning for classification.
  • Upskills
    Machine Learning Internship
    avril 2023 - août 2023 (4 mois)
    Singapore
    Developed a classification pipeline for accounting values from financial reports using a graph neural network, BERT embeddings for value descriptions, and an attention mechanism for value comparison.
  • CMAP Ecole Polytechnique
    Applied Mathematics Internship
    mars 2022 - mai 2022 (2 mois)
    Palaiseau, France
    Study of the convergence of a simple multilayer per ceptron with stochastic gradient descent and its variants (SVGD, SAGA).

Recommandations

Soyez le premier à recommander Mathieu

Contribuez à la réussite de ce freelance en partageant votre expérience de collaboration avec lui.

Ces profils de freelance correspondent également à vos critères

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Formations

  • Master in AI
    Ecole Polytechnique
    2024
    Master in AI and visual computing, comprising courses in NLP, vision, RL, through theoretical courses and practical projects
  • Exchange semester
    EPFL
    2022
    Exchange semester in the mathematics department

Compétences

Catégories