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Mathieu GierskiMG

Mathieu Gierski

Machine Learning Engineer

€500/day
Paris, FR
0-2 years

Average response time: 1 hour

About 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!
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Chinese

    Conversational

  • Spanish

    Conversational

Can work on-site
Paris (up to 50km)

Experience

  • Kili Technology
    Machine Learning Internship
    May 2024 - October 2024 (5 months)
    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
    April 2023 - August 2023 (4 months)
    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
    March 2022 - May 2022 (2 months)
    Palaiseau, France
    Study of the convergence of a simple multilayer per ceptron with stochastic gradient descent and its variants (SVGD, SAGA).

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Education

  • 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

Skill set

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