Freelancer profile translated to English.

Description

Product Manager with 4 years of experience, specializing in the use of AI agents to build useful products, I help my clients transform complex challenges into concrete and high-performing solutions.

Centralien Engineer with a solid background in Data Science and Generative AI, I combine strategic vision with a delivery mindset. I have managed teams of 4 to 10 engineers, ensured the performance and scalability of products based on generative AI, while making stakeholder communication a real and differentiating asset.

My creed: combining product vision, customer focus, and rigorous execution to deliver value quickly.

👉 Looking for a PM who can speak AI, business, and users -> let's discuss?

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km), Marseille (up to 50km)

Ekimetrics
Product Manager
SOFTWARE PUBLISHING
March 2024 - Today (2 years and 5 months)
Paris, France
Context
Leading the development of an Enterprise SaaS integrating generative AI agents, dedicated to facilitating sustainability operations: automated collection of ESG data, definition of impact indicators, and completion of complex reporting.

Product and Strategy
Developing the product vision in line with business needs and ESG objectives.
Identifying and prioritizing high-value features.
Continuous iteration based on user feedback to maximize adoption and relevance of use cases.
Management and Organization
Managing a team of 6 to 8 Software and AI engineers.
Implementing and facilitating agile rituals to ensure coherence and velocity of deliveries.
Coordinating technical and product dependencies between different stakeholders.
Delivery and Technical
Supervising delivery: quality monitoring, sprint management, optimization of workflows and agent-interface-API interactions.
Deploying and monitoring AI agents in production on Azure.
Implementing industrialization best practices for reliable, scalable, and high-performing SaaS.
Impact
Industrialized and ESG-oriented SaaS, measurable improvement in user productivity, accelerated time-to-market, and increased value of generative AI use cases.

Technical Stack
Generative AI: AI Agents, RAG, OpenAI SDK
Project Management: Agile Methodology
Cloud & Infra: Azure, Kubernetes, Databricks
Databases & APIs: SQL, Qdrant, FastAPI
Generative AI Leadership Product Discovery Product Delivery Agile Methodology
Ekimetrics
Solutions Data Scientist
CONSULTING AND AUDITS
April 2022 - July 2023 (1 year and 3 months)
Paris, France
Context
Designing and managing generative AI workflows applied to ESG. Deploying these solutions to international clients (retail, luxury, banking, pharmaceuticals) and participating in applied research projects in generative AI and statistical modeling.

Modeling and Deployments
Developing the first generative AI algorithms applied to ESG, including LLM, RAG, and OCR.
Designing and deploying statistical optimization models for marketing performance, with measurable improvement in campaign ROI.
R&D work in time series analysis, forecasting, and clustering for pattern detection and strategic planning.
Management and Delivery
Managing and supervising a team of 4 AI engineers for the deployment of workflows to 5 key accounts.
Coordinating dependencies with data, infrastructure, and business teams.
Developing, optimizing, and deploying genAI pipelines to automate a major scope of ESG tasks.
Impact
Reduced customer cycle time through robust and operational AI flows adopted by ESG teams, improved marketing performance, and first concrete applications of generative AI in the ESG domain.

Technical Stack
Cloud & Infra: Azure, Databricks, Qdrant
Machine Learning & Generative AI: LLM, RAG, LangChain, OCR, Regression, Classification, Forecasting, Clustering
Project Management: Consulting and client support missions
Generative AI Data Science Customer Relations Leadership