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Martin LegrandML

Martin Legrand

Expert LLM - Local Agents - Sovereignty - AI4S

€650/day
3 projects
Nice, FR
3-7 years

Average response time: 2 hours

Freelancer profile translated to English.
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About Martin

Epitech graduate, passionate about AI/ML system design and currently an AI engineer at the Holobiomicslab of the CNRS, I help you design or implement AI solutions.

🔍 Areas of expertise:

Design and implementation of AI solutions based on NLP or Vision: chatbots, autonomous agents, voice or visual recognition, and integration of models on the cloud.

🛠️ Experience:

Open-source AI maintainer:

I am the creator and maintainer of AgenticSeek, an open-source and local alternative to ManusAI, with 15,000 stars on GitHub.

AI/ML Engineer – Holobiomicslab of the CNRS Nice:

Currently an AI engineer at the CNRS, I am working on the implementation of next-generation agentic AI systems for scientific research.

AI/ML Engineer – Lab IA Alten Rennes:

I worked on a research project using LLMs to control intelligent agents by voice in a multi-agent environment.

AI/ML Engineer - Woodetect:

Development of a sound classification model with PyTorch for an autonomous sensor device fighting deforestation, as well as a chatbot for the website.

🎓 AI Study:
At Feng Chia University (逢甲大學) (Taiwan), a university chosen specifically for its courses, I took courses in optimization, computer vision, NLP, etc., which were added to the skills obtained through my Epitech curriculum.

🚀 I am ready to apply my skills and passion for AI to your project. Ready to contribute to its success with my solid knowledge.
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

  • Chinese

    Conversational

Remote only
Primarily works remotely

Experience

  • Centre National de la Recherche Scientifique
    AI Engineer - CNRS
    RESEARCH
    May 2025 - Today (1 year and 1 month)
    Nice, France
    Development of agentic architectures: models capable of autonomous reasoning and interaction with complex environments

    Research optimization: tailor-made solutions adapted to the specific needs of the academic world

    Cross-functional collaboration: working with multidisciplinary teams (researchers, engineers, business experts)

    Full-stack approach: from algorithmic design to integration into existing scientific workflows
    AI Agent System Design
  • Alten
    R&D Engineer in NLP/LLM
    DIGITAL AND IT
    March 2024 - August 2024 (6 months)
    Rennes, France
    LLM optimization for robotic agent voice control: evaluation and benchmarking of models on specific intent recognition tasks.

    Applied research: implementation of model adaptation techniques (fine-tuning, prompt engineering) to improve robustness to noisy voice commands.

    Complete pipeline: text/audio data pre-processing, integration with robotic APIs, and validation on industrial use cases.

    Collaboration with a multidisciplinary team (AI researchers + robotics engineers).
    Natural Language Processing (NLP) Python Speech Recognition LLMs
  • Woodetect
    Lead Machine Learning Engineer
    INTERNET OF THINGS (IOT)
    March 2022 - February 2024 (1 year and 11 months)
    Paris, France
    Design and optimization of a Deep Learning model (PyTorch) capable of classifying sounds among 10+ classes by analyzing spectrograms.

    Full-stack integration:

    Audio stream retrieval from IoT devices (Python backend).

    Generation of automated alerts to a web dashboard for results visualization.

    Data collection automation:

    Development of a scraping and pre-processing pipeline (YouTube → cleaned and labeled audio dataset).
    Deep Learning Python Pytorch Chatbot scraping

Reviews

5.0

Out of 1 rating

N

Nolwenn

IROC

Reviewed on 12/15/2023

Excellent profile, who has successfully completed several missions, we recommend!

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Education

  • Master of Computer Science
    EPITECH
    Diplômé d’une formation rigoureuse en informatique, axée sur une pédagogie innovante par projets et un travail en autonomie. Cette approche m’a permis de développer une solide maîtrise technique et une capacité d’adaptation aux défis complexes. Compétences techniques acquises : Maîtrise approfondie des langages C, C++, Python et techno fullstack frontend/backend/mobile au cours des trois premières années, avec une mise en pratique sur des projets concrets. Projet de fin d’études (EIP) : Conception et développement en équipe d’une solution innovante en intelligence artificielle: woodetect, démontrant ma capacité à livrer des projets d’envergure à fort impact. Mobilité internationale : Année d’échange à la prestigieuse Feng Chia University à Taïwan, renforçant mes compétences interculturelles et ma capacité à évoluer dans des environnements variés.
  • Study at Feng Chia University, Taiwan
    Feng Chia University
    Computer Vision, Intelligence Artificielle, Algorithmes avancés, Optimal Control. Approfondissement en analyse spatiale et ingénierie financière, combinant rigueur mathématique et applications business.

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