About Thomas
- ✅ Recommendation engine increasing application rate by+30%(job/candidate matching via LLMs)
- ✅ Content generation reducing customer onboarding time by60%
- ✅ CV information extraction multiplying user growth by3x
- ✅ NLP system for entity recognition in complex documents (accuracy >95%)
- Generative AI & LLMs: RAG, fine-tuning, autonomous agents, prompt engineering, OpenAI, Mistral, LangChain
- Data Science & ML: Python, TensorFlow, PyTorch, scikit-learn, recommendation systems, predictive modeling
- NLP: NER, text classification, semantic analysis, content generation
- MLOps: Deployment, monitoring, CI/CD, Docker, AWS/GCP, APIs, SQL
- 🎯 Precise definition of needs and KPIs
- 🔬 Data exploration and prototyping
- 🛠️ Model development and optimization
- 📈 Impact measurement and continuous improvement
- 📚 Documentation and knowledge transfer
French
Native or bilingual
English
Fluent
Experience
- Welcome to the JungleLead Data ScientistJanuary 2022 - Today (4 years and 5 months)
- Design and deployment of a job offer enrichment system using LLMs and ML techniques to automatically extract professional classifications and required skills with **95% accuracy**.
- Development of a hybrid job recommendation engine combining collaborative filtering algorithms with LLMs,increasing the application rate by 30%.
- Implementation of an AI-powered content generation system to accelerate customer onboarding,reducing onboarding time by 60%.
- Creation of a recruitment chatbot assisting recruiters in defining the ideal candidate.
- Automation of personalized prospecting message generation,increasing the open rate by 25%.
- SpaycialLead Data ScientistJanuary 2018 - January 2022 (4 years)
- NLP for entity recognition (BERT + biLSTM).
- NLP and computer vision for information extraction from transcripts.
- Recommendation systems (Collaborative filtering + hybrid methods).
- Management of two data scientists and one data analyst.
- Close collaboration with the executive committee to define the data roadmap.
- SidetradeData ScientistJanuary 2016 - January 2018 (2 years)
- Implementation of predictive performance indicators (Payment date prediction, disputes).
- Automation of the follow-up process.
- Detection of business opportunities using graphical models.
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Education
- MSc - Statistical and Financial EngineeringParis Dauphine University2016