Freelancer profile translated to English.

Description

I support companies in the industrialization of their AI solutions and the scaling of their critical infrastructures. With 10 years of experience as a Founding CTO, I have designed AI-based dynamic pricing platforms for global leaders generating several billion dollars in revenue.

My expertise ensures the "Technical Win" by transforming a strategic vision into a resilient and secure production architecture.

My areas of intervention:

- Applied AI & LLMOps: Design and deployment of RAG architectures, AI agent orchestration, and integration of models into production with a focus on ROI.

- Infrastructure & Massive Scale: Design of Cloud-native stacks supporting critical loads (up to 18,000 requests per second) with 99.9% availability.

- Data Industrialization: Architecture of massive data pipelines (multi-terabytes) optimized for security, performance, and cost efficiency through appropriate workload selection.

- Governance & Operational Excellence: Hands-on technical leadership, managing technological pivots under pressure, and SOC 2 Type II compliance.

Strategic references: CMA-CGM, Michelin.

Based in Paris, I intervene on-site or remotely for strategic scoping, technical audit (Due Diligence), or complex technology roadmap management missions.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Pricemoov
CTO & Founding Engineer
November 2016 - Today (9 years and 7 months)
Paris, France
Create Pricemoov, an enterprise-grade pricing platform now running at global scale: Billions of price points 20+ large B2B clients, including $1B+ companies and a $50B manufacturer Built and led a 20+ person product-engineering org across 4 squads Architected and scaled the full platform: Backend: Python, Django, async microservices (Celery, Redis, Lambda, SQS, K8s) Frontend: React, TypeScript, Tailwind Data: Snowflake, Spark, DBT, AWS Step Functions, S3 pipelines (millions of records/day) Infra: AWS+EKS with Terraform, SLO/SLI-driven reliability (Datadog) Drove performance at scale: cut pipeline latency, slashed compute costs, tuned PostgreSQL/Snowflake Built ML systems for time-series forecasting & elasticity modeling across thousands of products → +2% margin (€3M+) Drove SOC2 Type II certification end-to-end (security, observability, incident response)
MLOps & AI Industrialization cloud-integration data-integration Data Architecture & Scalability backend-service-development
Ministère de l'enseignement Supérieur et de la Recherche (France)
Math Instructor
September 2012 - July 2014 (1 year and 10 months)
Lycée Hoche, Versailles, France
Selected and became an oral examiner in mathematics to prepare top-tier students for competitive exams aiming at entering top Engineering Schools (Polytechnique, ENS, CentraleSupélec, etc.)
Artefact
Machine Learning Engineer
April 2016 - September 2016 (5 months)
Paris, France
Built a reinforcement learning recommendation engine and improved bidding accuracy Implemented real-time pipelines (Kafka, Storm, Cassandra) ingesting 10k+ events/sec Automated deployments (Ansible) and scaled cloud infra on AWS