About Thomas
- Generative AI : RAG, AI agents, LangChain / LangGraph
- Machine Learning & Deep Learning : NLP, computer vision, scikit-learn, PyTorch, Hugging Face, MLflow.
- Backend & APIs : Python, FastAPI.
- Cloud & Production Deployment : AWS, GCP, Azure, Docker, Terraform, CI/CD
- Identify and frame Generative AI use cases that are truly useful for your company.
- Develop an AI prototype and then industrialize it properly.
- Build an internal assistant, an RAG engine, an AI agent, or a business automation tool.
- Integrate LLMs into an existing application.
- Improve the quality, robustness, cost, or maintainability of an already launched AI project.
- Support a technical or product team in upskilling in applied AI.
French
Native or bilingual
English
Native or bilingual
Spanish
Conversational
Experience
- T-shirt Ventures,Senior AI EngineerHEALTH AND WELLNESSMay 2025 - January 2026 (8 months)Sydney NSW, Australia
- Built and operated the backend for a production mobile application, including authentication, APIs, database access, and AI-powered features.
- Re-architected an LLM platform on AWS, moving from always-on containerized services to a serverless architecture using Lambda, API Gateway, SQS, and DynamoDB.
- Integrated speech-to-text capabilities into the mobile backend.
- Documented key architecture decisions and trade-offs around latency, cost, reliability, and maintainability.
- Designed asynchronous LLM workflows with queue-based processing to support long-running AI tasks beyond standard API timeout limits.
- OCTO Technology - Part of Accenture,Senior Data ScientistNovember 2020 - November 2024 (4 years)Paris, France
- Delivered 5 production LLM applications across AWS, Azure, and GCP
- Led a team of 5 engineers on a GCP data platform migration (Big Query, Cloud Run)
- Built predictive maintenance model (~€200k/year savings)
- Managed 4 junior consultants and designed a computer vision course (100+ professionals, ~€100k/year revenue)
- Publicis Sapient Engineering,Data ScientistApril 2019 - November 2020 (1 year and 7 months)Paris, France
- Built SEA optimization pipeline (Spark, TensorFlow).
- Achieved 4× training speed-up via AWS SageMaker.
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Education
- MSc MVAEcole Normale Supérieure2017Master en machine learning et computer vision
- Engineering DegreeEcole Nationale des Ponts et Chaussées2017Ingénieur en mathématiques appliquées et informatique
Certifications
- AWS Machine Learning SpecialtyAWS2023