Description

Vous cherchez à tirer le meilleur parti de vos données, de vos modèles d’IA ou de vos pipelines cloud pour améliorer vos processus métiers, vos produits ou vos décisions ? Je vous accompagne dans la conception, le déploiement et l’optimisation de solutions data et IA à grande échelle.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 10 km)

Deloitte
Senior Data Specialist
octobre 2024 - Aujourd'hui (1 an et 8 mois)
Paris, France
FinOps Data Platform – AWS
Designed and implemented a FinOps data platform using a Lakehouse architecture on AWS, improving multi-cloud cost management and financial analytics.
Deployed infrastructure with Terraform, leveraging AWS Glue as the data catalog and Apache Iceberg as the table format.
Orchestrated Spark transformation jobs on EMR, and delivered business dashboards with Superset running on AWS ECS.
Retail Product Image Enhancement – GCP
Implemented a retail product image-enhancement pipeline using Vertex AI Imagen and Gemini models to improve visual quality at scale.

Serverless RAG Application – AWS
Developed a serverless RAG application using AWS Bedrock, enabling efficient knowledge retrieval and question answering.

LLM Optimization – AWS SageMaker
Optimized the cost structure and inference latency of an LLM deployed on AWS SageMaker, improving performance and reducing operational spend.

Enterprise RAG Chatbot for Insurance – Azure
Developed an enterprise-grade chatbot using a RAG architecture, deployed on Azure Kubernetes Service (AKS) for scalable, secure, and compliant operations.
Ensured quality and regulatory adherence through supervised evaluation with business experts.
Designed optimized prompts enforcing business-specific answering rules.
Automated the full text-processing workflow to streamline document ingestion into the knowledge base.
RAG Terraform Amazon Web Services FastAPI Spark
neoxia
Fullstack Data Consultant
novembre 2021 - septembre 2024 (2 ans et 10 mois)
Paris, France
Airflow-Orchestrated ELT Pipelines – GCP
Built and deployed Airflow driven ELT pipelines on Google Cloud Platform to process and transform marketing, pricing, and customer-relationship data.
Enabled operational monitoring and advanced insights using BigQuery for warehousing and Vertex AI for developing and deploying a supply-chain forecasting model.

Real-Time Data Replication & Analytics – GCP
Led the migration of data-ingestion pipelines to Google Datastream for real-time data replication, with BigQuery as the central data warehouse.
Built business dashboards using Zoho Analytics and deployed/automated BigQuery jobs with Terraform, improving data freshness, reliability, and operational visibility.

Streaming Data Pipeline for Fleet Monitoring – AWS
Designed and implemented a real-time streaming pipeline on AWS to process, aggregate, and monitor telemetry data from a fleet of automobiles.
Enabled near–real-time insights and operational decision-making through scalable event processing.
Google cloud Big Query Airflow
neoxia
Data Scientist
avril 2021 - octobre 2021 (6 mois)
Paris, France
Animal Detection Computer Vision Model for an NGO – Azure
Developed and deployed an animal detection computer vision model using Azure Machine Learning, enabling automated identification and monitoring through a scalable MLOps workflow.

Car Detection Model – AWS
Built and deployed a car detection model on AWS SageMaker, leveraging managed training and inference endpoints to deliver a robust, production-ready computer vision solution.