About Antoine
- Agentic chatbotwith LangChain and MCP
- MultimodalRAGas a service with Milvus vectorstore
- Automatic multi-video and multi-languagesubtitlerusing ElevenLabs APIs
- Generatorofpersonalizedmedia content (images and videos)
- consulting missions for large groups at Accenture and Artefact (e.g.: sales forecasting for Decathlon)
- freelance missions: SEO data processing for Canal+, Machine Learning-based recommendation system for Photoroom
French
Native or bilingual
English
Native or bilingual
Spanish
Conversational
Experience
- PhotoroomData ScientistFILM AND AVJanuary 2026 - Today (5 months)Paris, FranceDevelopment of a recommendation system for photo editing tools.Based on user and session metadata, predict which tool to suggest to the user to maximize click-through rate.
- Analysis of user consultation and click behavior from historical data
- Development of a machine learning recommendation model trained with Metarank on view and click history
- Monitoring of training experiments and feature engineering with MLflow
- Implementation of recommendation API endpoints
- Conducting A/B tests against other recommendation strategies (trending articles, GOT recommendations) using Amplitude
Stack : Python, Git, Docker, Metarank, MLflow, Amplitude, Datadog - PublicisGenerative AI Data ScientistFILM AND AVNovember 2023 - January 2026 (2 years and 2 months)Paris, FranceDevelopment and deploymentat scaleof generative AI applications on Azure for the group's 100,000 employees, from POC to production.
- Multi-toolagentic chatbotwith langgraph and MCP integrating **RAG**, image generation, and code interpreter
- RAG as a service with Milvus database
- Automatic multi-video and multi-language subtitling with ElevenLabs API
- Pipeline for creating personalized content (images and videos)
Stack : Python, Docker, CICD, Azure, FastAPI, Pytest, Infrastructure as Code (Bicep), OpenTelemetry, Langchain, Langgraph, Langfuse - Accenta.aiAI Engineer - R&DENERGY AND UTILITIESApril 2023 - July 2023 (3 months)Boulogne-Billancourt, FranceWriting a research paper on time series forecasting methods, with a focus on RNNs and transformers.Implementation in Torch and MXNet of the 3 methods with the best potential in the context of predicting building energy consumption: DeepAR, Multi-horizon Quantile RNN, and Temporal Fusion Transformer.
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Education
- Grande École ProgramArts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers2021Parcours Grande École
- Specialization, Data ScienceUniversidad Carlos III de Madrid2021Spécialisation, Data Science