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Gustave CortalGC

Gustave Cortal

Research Scientist NLP | ENS Paris-Saclay

€750/day
Paris, FR
8-15 years

Average response time: 1 hour

About Gustave

Docteur en NLP à l'ENS Paris-Saclay et actuellement chercheur dans une startup (Callyope), je travaille avec les LLMs depuis 6 ans.

Mes interventions :
• Fine-tuning et alignement de LLM sur votre domaine
• Conception de benchmarks et protocoles d'évaluation
• Optimisation de pipelines d'inférence
• Due diligence technique pour fonds VC et acquéreurs
• Workshops et formations sur mesure

8 publications dans les conférences internationales sélectives (EMNLP, LREC-COLING), modèles open-source disponibles sur Hugging Face, et 3 cours universitaires conçus et enseignés (ENS Paris-Saclay, CentraleSupélec, EPITA).
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

  • Chinese

    Conversational

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

Experience

  • Callyope (startup)
    Research Scientist
    March 2025 - Today (1 year and 3 months)
    Paris, France
    Language models for quantifying memory, future thinking, and the self in mental health

    - Optimized the LLM inference pipeline for patient document processing, achieving 2x throughput.

    - Built clustering and labeling pipelines that surface interpretable risk topics from patient narratives.

    - Co-authored a clinical paper applying language models to psychiatric data.
    NLP LLM Fine-tuning Python Pytorch
  • École Normale Supérieure Paris-Saclay
    Research Scientist
    February 2022 - July 2022 (5 months)
    Paris, France
    Natural language processing for emotion analysis

    - Developed an aspect-based emotion identification system on narrative texts, grounded in appraisal theory.

    - Released an open benchmark for emotion analysis based on psychological components.
    NLP LLM Fine-tuning Python Pytorch
  • Dashlane
    Research Engineer
    February 2022 - September 2022 (7 months)
    Paris, France
    Language models for code generation

    - Designed transformer-based approach for HTML generation to improve autofill on web forms.

    - Implemented Low-Rank Adaptation and 8-bit quantization for parameter-efficient fine-tuning.
    NLP LLM Fine-tuning Python Pytorch

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Education

  • Ph.D. in natural language processing
    École Normale Supérieure Paris-Saclay
    2026
  • Master's degree in data science and artificial intelligence
    Université de Technologie de Compiègne
    2022

Skill set

Categories