Freelancer profile translated to English.
Back to original languageAbout David
Engineer specialized in artificial intelligence and natural language processing, I develop generative AI solutions. My expertise covers the design of industrial NLP systems, the optimization of information retrieval, and the deployment of large-scale AI applications. Passionate about the state of the art in AI, I combine scientific research with the production of intelligent solutions.
My approach is based on an iterative methodology, favoring the rapid transition from POC to production while respecting the best standards of software quality and AI systems engineering.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- DoctrineMachine learning engineerJanuary 2022 - February 2026 (4 years and 1 month)Paris, France- Led the design and deployment of a production-grade legal AI assistant leveraging RAG pipelines and agentic architectures (OpenAI, Gemini, Mistral), improving access to legal information at scale- Built multi-stage retrieval systems combining key-word and vector search with Elasticsearch, with re-ranking pipelines to optimize relevance and latency- Designed and optimized RAG architectures (chunking strategies, embeddings, retrieval orchestration, source attribution) for high-precision legal use cases- Implemented evaluation and benchmarking frameworks for LLM systems (retrieval quality, answer accuracy, latency), driving iterative product improvements- Led A/B testing and experimentation on systems relevance- Deployed and scaled models in production with robust MLOps pipelines (MLflow, Vertex AI, SageMaker, DVC), ensuring monitoring, reliability and observability- Trained and fine-tuned NLP models (BERT, HuggingFace) for legal tasks, including knowledge graph construction and domain adaptation- Contributed to technical strategy and AI watch, including LLM optimization techniques (fine-tuning, distillation, RLHF) and emerging frameworks (vLLM, DSPy, langgraph, literalAI)
- OCTO TECHNOLOGYData engineerSeptember 2020 - December 2021 (1 year and 3 months)Paris, FranceClient : Total energyMission : Hydrogen network management webapp- Real-time network status monitoring (Flask, Docker, Sendgrid). Network state prediction.- Data streaming pipeline (Azure Cloud Event Hub, Spark Databricks). Physical network modeling.Mission : Energy consumption prediction for refineries- Data ingestion pipeline (PostgreSQL).- Backend development- Energy consumption prediction, timeseries forecasting (Pandas, Scikit-Learn)
- OCTO TECHNOLOGYML engineerMay 2020 - August 2020 (3 months)Paris, FranceClient : AirbusMission : Defect detection on the production line using computer vision- Webapp development (Vue.js, MongoDB, Docker, FastAPI).- Deep learning model training (Tensorflow, YOLOv3).- Deployment on embedded systems (Microsoft IoT edge).
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Education
- Azure DP-100: Designing and implementing a data science solutionAzure DP-100: Designing and implementing a data science solution
- Engineering master degreeIMT Atlantique Nantes2019Engineering master degree