Description

AI Engineer spécialisé dans la mise en production de solutions IA.

Que vous ayez besoin de déployer des modèles de deep learning à l'échelle, bâtir une infrastructure cloud dédiée aux data scientists, ou développer des solutions intégrant des LLMs, je serai en mesure de vous aider à identifier et à mettre en place la solution la plus adaptée à vos problématiques métier.

Je maîtrise les outils modernes de Software Engineering:

- Python

- Typescript

- git

... Mais également ceux nécessaires au déploiement de modèles et à la mise en place d'infrastructures data :

- Docker

- DBT

- Terraform

- GCP (Vertex AI, Cloud Run, IAM, Cloud Functions, ...)

Je vous invite à me contacter si vous souhaitez en savoir plus sur mon profil et mon parcours, via Malt, Linkedin, ou directement par email.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent
Japanese
Basic

Workplace preferences

Can work on-site

Marseille (up to 10km)

Trubrics
MLOps Engineer Freelance
February 2025 - May 2025 (3 months)
Contribution to the development of Trubrics, a leading product analytics platform for AI applications:
• Design and implementation a topic modeling system using LLMs to extract insights from user-AI conversations
• Improvement of codebase structure, implementing CI/CD workflows, and enhancing development practices
• Integration of third-party APIs (Stripe, Langfuse, …) to expand platform capabilities, allow seamless data synchronization and analytics across multiple services while maintaining data integrity, and bring new users to the platform
HOMA
Machine Learning Engineer
June 2024 - December 2024 (6 months)
Paris, France
Support of Machine Learning team to improve their ML pipelines and development practices:
• Design and implementation of ML team dedicated repository and AWS infrastructure, while improving code quality and security
• Acceleration of data scientists development velocity through tool implementation (Sagemaker, ZenML, MLFlow, Cursor, uv …)
• Optimization of the deployed LTV-prediction pipeline, reducing daily compute time from 5 to 2 hours
Bigblue
Data Science Engineer
February 2024 - April 2024 (2 months)
Paris, France
Analyses and development of dedicated solutions for efficiency improvement within company's warehouses:
• Deployment of an MLFlow server allowing data scientists to track the results of their experiments on machine learning models
• Optimization of DBT models to reduce data warehouse refresh costs: Division by 3 of query costs ($36k yearly saved)