About Mathieu
⚙️ Technical Stack
- Languages & Frameworks: Python, TensorFlow, PyTorch, Scikit-learn
- LLM Tools:LangChain, Hugging Face, OpenAI API
- Databases: SQL, NoSQL (MongoDB, etc.)
- Cloud:Google Cloud, AWS, Azure
- Other: ONNX, RAG pipelines, Computer Vision (YOLO, U-Net)
🔑 Areas of Expertise
- Chatbots & Internal Assistants (Meta's LLaMA, OpenAI, Hybrid Models)
- RAG (Retrieval-Augmented Generation) for reliable and contextualized responses
- Fine-tuning, GPU optimization & deployment (Cloud & On-premise)
- Assistants for internal knowledge management
- Automated reports & intelligent dashboards
- Document understanding & workflow automation
- Credit scoring & risk models (Random Forest, SHAP, LIME)
- Sentiment analysis (Word2Vec, NLP pipelines, real-time monitoring)
- Image segmentation (U-Net for autonomous vehicles, computer vision)
- Predictive analytics for decision-making
French
Native or bilingual
English
Fluent
Italian
Conversational
Experience
- PrivAIHead of EngineeringTECHApril 2025 - Today (1 year and 2 months)Paris, FranceI co-lead the development of a multimodal AI application built on Chainlit, with a strong focus on data privacy and security 🔒. Hosted on private servers, this solution assists companies in sensitive sectors such as legal, healthcare, and finance 💼, enabling them to leverage their data securely while complying with regulations (GDPR in particular). My goal is to help organizations harness their data through advanced AI capabilities.Key Responsibilities:✅ Define product vision and technological strategy.✅ Lead the creation of a platform integrating: text interactions 💬, image generation 🎨, visual analysis 🔍, voice recognition 🎙️, and document search via RAG (Retrieval Augmented Generation) 📚.✅ Implement a secure architecture 🛡️ using technologies like Llama 2/3, Cloudflare, Google Cloud Storage (private), and Llama Index for confidential data processing.
- Butterfl.aiML EngineerSeptember 2023 - September 2025 (2 years)Paris, France
- Data Analysis and Segmentation: Leverage customer data to optimize strategies and improve decision-making.
- Machine Learning Model Development: Design and enhance scoring models and automated classification systems.
- Production Deployment: Deploy models to the cloud, manage large-scale data volumes, and automate CI/CD pipelines for continuous updates.
- Collaborate with technical and business teams to develop high-impact AI solutions.
- Crédit Immobilier de FranceML EngineerSeptember 2022 - September 2023 (1 year)Paris, France
- Project Management: Lead projects to review and optimize existing processes and procedures, in collaboration with relevant teams.
- Procedure Formalization: Create and document new procedures to ensure standard practices compliant with regulatory requirements.
- Process Improvement and Automation: Participate in improving processes and automating tasks to reduce operational risks and increase efficiency.
- Financial Risk Management: Monitor the progress and implementation of liquidity and interest rate risk hedging plans, ensuring compliance and optimization of risk management strategies.
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Education
- Ecole IA Microsoft - Développeur en intelligence artificielleSimplon.co2024Ecole IA Microsoft - Développeur en intelligence artificielle
- DESU Advanced Engineering and Corporate Finance, Finance and Financial Management ServicesAix-Marseille Université2021DESU Advanced Engineering and Corporate Finance, Finance et services de gestion financière
Certifications
- IELTS 7/9 - C1 LevelBritish Council2015
- AMFDemos2021