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Mathieu BernardiMB

Mathieu Bernardi

Data Scientist | RAG | Generative AI Agent | ML

€450/day
Pégomas, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Mathieu

✅ AI Expert & Intelligent Agent Developer (LLM)
🔹 Intelligent Automation | Business Content Generation | Process Optimization

🚀 Do you want to effectively automate your business processes using artificial intelligence?
I develop intelligent autonomous agents based on advanced language models (LLMs) to transform your data into concrete actions, optimize your decision-making, and simplify complex tasks.

👉 What I can offer you:

Development of specialized AI agents tailored to your business
Custom automation of your operational workflows
Data optimization with tangible results
Deployment of AI tools precisely suited to your business challenges

🎯 My goal: To transform your technical challenges into robust, scalable, and high-performing solutions, to gain efficiency and productivity.

🛠️ Favorite Tools: Semantic kernel, LangChain, LamaIndex, Azure OpenAI, FastAPI, Azure Functions, GitHub Actions CI/CD

📩 Let's discuss together to create your next high-performing, custom AI project!
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • SmartGlobalGouvernance
    Data Scientist Tech Lead AI/RAG & Autonomous Agents
    SOFTWARE PUBLISHING
    June 2024 - Today (2 years)
    Biot, France
    ⚙️ Key Expertise and Achievements:

    Creation of specialized AI agents: design of targeted business agents

    Development of scalable AI services, innovation hub for a team of 5 people:
    - Design and deployment of robust Python APIs integrating AI agents dedicated to automatic document processing.
    - Advanced integration of language models (Azure OpenAI, GPT, Mistral) to create agents capable of generating interactive content and performing in-depth semantic analysis.

    Natural Language Processing (NLP):
    - Mastery of advanced techniques for indexing, semantic search, and continuous verification on large document bases.
    - Strategic optimization of indexing and document management in a distributed environment.

    AI Workflow Orchestration and Automation:
    - Setup and management of complex automated pipelines via Azure Services (Bus, Table, and Blob storage), including results management, data persistence, and optimized cloud resource cleanup.

    Application Monitoring and Robustness:
    - Rigorous implementation of structured logs and proactive exception handling to ensure perfect traceability and increased reliability of AI processes.

    CI/CD Deployment:
    - Setup and management of automated continuous integration pipelines, automated tests, and production deployment via GitHub Actions and Azure DevOps, ensuring stability and reliability of deliveries.

    Frameworks: Semantic kernel, LangChain, Azure OpenAI, FastAPI, Pydantic, Pandas, Numpy ...
  • SmartLawyer
    Data Scientist
    SOFTWARE PUBLISHING
    May 2023 - December 2023 (8 months)
    Paris, France
    Research, development, and implementation for the use of natural language processing models (LLMs) to automate the analysis of legal documents for legal professionals.

    • Automation of large-scale data extraction using various APIs.
    • Vectorization, indexing, and creation of vector databases to facilitate efficient semantic search on a large amount of information, thereby optimizing LLMs' reasoning capabilities.
    • Mastery of prompt engineering to perform various distinct tasks necessary for LLMs to identify legal issues.
    • Development and implementation of RAG-type AI agents for advanced semantic data searching.

    IA générative ChatGPT Indexation Vectorisation Chatbot IA RAG IA Agent IA LlamaIndex Python
  • Veracyte, Inc.
    Data Manager
    BIOTECH
    September 2022 - March 2023 (6 months)
    Marseille, France
    Management of data for the GBU Pharma, a department of 90 people.

    • Creation of workflows and procedures (SOPs) for the generation of IHC (Brightplex) and Molecular Biology (NGS) data.
    • Harmonization of variables with bioinformaticians to comply with the CDISC regulatory standard.
    • Improvement of Data Transfer Protocols or Data Transfer Agreements according to new harmonizations and standards.
    • Development of Python scripts for each technology to automate formatting to CDISC format.
    • Collaboration in the development of a CDISC-formatted database.
    Python SQL Data Management

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Education

  • Applied MSc in Data Science and Artificial Intelligence
    Data ScienceTech Institute
    2020
    Applied MSc in Data Science and Artificial Intelligence
  • Bachelor's degree, Ingénierie biomédicale / médicale
    Université Nice Sophia Antipolis
    2006
    Bachelor's degree, Ingénierie biomédicale / médicale

Skill set

Categories