About 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
French
Native or bilingual
English
Fluent
Dutch
Conversational
Can work on-site
Bruxelles (up to 30km)
Experience
- StellarData Scientist LeadSOCIAL NETWORKSSeptember 2025 - Today (9 months)Bruxelles, BelgiumObjective: 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 - Bayer Crop ScienceData Scientist AnalystLOGISTICS AND SUPPLY CHAINSeptember 2023 - February 2025 (1 year and 5 months)Rennes, FranceObjective: Reduce seed production costs at European sitesActions:
- 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. - CooperlDevelopment engineerAGRICULTUREMarch 2025 - May 2025 (2 months)Rennes, FranceObjective: Convert an R script into python about spiruline productionAction: Developed deep learning model to improve production processResult: Python script to optimize spiruline production.
Recommendations
Be the first to recommend Briac
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Erasmus ExchangeWarsaw University of Technology2018Modelisation, Environmental
- Engineering DiplomaIMT Mines Alès2019mathematics, physics, programmation
Certifications
- The Data Science Course Complete Data Science BootcampUdemy2020