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Briac Le GuillouBL

Briac Le Guillou

ML Engineer / Lead data scientist

€ 600/dag
Bruxelles, BE
3-7 jaar

Gemiddelde responstijd: 1 uur

Over Briac

👨‍💼 Hello, I'm a passionate and rigorous data scientist specializing in artificial intelligence, data analysis, and statistics.

🤝 With 5 years of experience, I support companies in their data projects, from exploratory analysis to ML model deployment in production. My added value: an end-to-end vision covering the entire data project lifecycle.

I have led projects ranging from supply chain cost reduction, yield prediction and automation in the cloud.

🎯 Recent achievements:

Developed NLP pipelines and LLM-based classification in production.
Implemented Brand Safety models (text, image, audio) in a SaaS with Automatic Speech Recognition
Reduced losses by 30% through predictive modeling in agriculture
Deployed cloud solutions (AWS, Gitlab) with CI/CD pipelines

💡 Technical expertise:

AI & ML: NLP, LLM (OpenAI API), RAG, Deep Learning, Time Series
Languages: Python, SQL, R
Tools: HuggingFace, TensorFlow, PostgreSQL, ElasticSearch
  • Frans

    Tweetalig / moedertaal

  • Engels

    Vloeiend

  • Nederlands

    Beperkte professionele capaciteit

Kan op locatie werken
Bruxelles (tot 30km)

Werkervaring

  • Stellar
    Data Scientist Lead
    SOCIALE NETWERKEN
    september 2025 - Vandaag (9 maanden)
    Bruxelles, België
    Objective: Develop models to analyse the BrandSafety of text, image and video in a SaaS.
    • Benchmarked & optimized inference pipelines (CPU/GPU)
    • Deployed LLM-based classifiers for brand safety detection
    • Deployed ASR pipeline (Whisper/HuggingFace, VAD, STT)
    • Computer vision, brand recognition with YOLO.
    • Transformer, VLM, matching-algorithm, embeddings...
    • Ensured model compliance with GDPR & EU AI Act (bias, explainability)

    Result: Deployed script in gitlab (K8s). Provide overview of AI models with testing.

    Tools: Python, Gitlab, OpenAI, RabbitMQ, HuggingFace, Kubernetes, Docker, ElasticSearch
    Machine learning NLP Modeloptimalisatie Gitlab CI/CD Docker
  • Bayer Crop Science
    Data Scientist Analyst
    LOGISTIEK & SUPPLY CHAIN
    september 2023 - februari 2025 (1 jaar en 5 maanden)
    Rennes, Frankrijk
    Objective: Reduce seed production costs at European sites
    Actions:
    • Developed NLP pipeline to extract hybrid seed information from PDF reports and structure it for analysis.
    • Implemented LLM-based classification to detect and label field inspection issues from free-text reports.
    • Analyzed the impact of input variables (weather, SAP data, agricultural practices, harvest cycles) on production efficiency.

    Result: Improved process transparency and decision-making, leading to 300 workdays saved for agricultural engineering teams.
    sap NLP Data science
  • Cooperl
    Development engineer
    VOEDSELINDUSTRIE
    maart 2025 - mei 2025 (2 maanden)
    Rennes, Frankrijk
    Objective: Convert an R script into python about spiruline production
    Action: Developed deep learning model to improve production process
    Result: Python script to optimize spiruline production.
    Pytorch LSTM Amazon Web Services R Python

Aanbevelingen

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Opleidingen

  • Erasmus Exchange
    Warsaw University of Technology
    2018
    Modelisation, Environmental
  • Engineering Diploma
    IMT Mines Alès
    2019
    mathematics, physics, programmation

Diploma's

  • The Data Science Course Complete Data Science Bootcamp
    Udemy
    2020
    Programmation Python

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