Description

I help manufacturing and engineering organizations optimize ENOVIA / 3DEXPERIENCE platforms, improve PLM–SAP integrations, and implement AI-driven engineering workflows.

With 20+ years of experience, including roles at Dassault Systèmes and Accenture, I have led large-scale PLM transformation programs across aerospace, automotive, and industrial sectors.

I specialize in solving complex challenges such as:

• Scaling ENOVIA / 3DEXPERIENCE for enterprise environments

• Fixing PLM–ERP integration issues and improving data consistency

• Optimizing engineering change and BOM processes

• Applying Generative AI (RAG, MCP, LLMs) to engineering workflows

Recent work includes building AI-powered assistants for 3DEXPERIENCE, enabling natural language access to PLM data and automating engineering knowledge workflows in secure enterprise environments.

Services I offer:

• ENOVIA / 3DEXPERIENCE Architecture Assessment

• PLM–SAP Integration Strategy & Optimization

• GenAI Enablement for Engineering & PLM

I work with organizations looking to modernize their PLM systems, improve engineering efficiency, and adopt AI in digital engineering.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

freelance
AI Assistant for ENOVIA / 3DEXPERIENCE (GenAI Integration)
TECH
November 2025 - Today (7 months)
Pune, India
Client Context
Engineering teams using 3DEXPERIENCE (ENOVIA) often struggle to access and interpret complex PLM data, requiring deep system expertise and manual navigation across multiple modules.

Problem
Users faced delays in retrieving engineering data, understanding product structures, and executing workflows, leading to inefficiencies and dependency on PLM specialists.

Approach
Designed and implemented a Generative AI-powered assistant integrated with 3DEXPERIENCE using Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG).

The solution enabled natural language interaction with PLM systems, allowing engineers to query product data, lifecycle states, and engineering changes without navigating complex interfaces.

Solution Highlights
• Integrated AI agents with ENOVIA / 3DEXPERIENCE data and workflows
• Built secure architecture supporting on-premise deployment for IP-sensitive environments
• Enabled contextual understanding of engineering data using RAG pipelines
• Automated engineering queries and knowledge retrieval

Impact
• Reduced time required to access engineering data and documentation
• Improved productivity of engineering teams
• Reduced dependency on PLM experts for routine queries
• Established a scalable reference architecture for AI integration in PLM

Technologies
3DEXPERIENCE, ENOVIA, MCP, RAG, OpenAI, Claude, Node.js, vector databases
PLM MCP API REST artificial intelligence ENOVIA
Freelance
Enterprise Knowledge Retrieval System using GenAI (RAG)
TECH
July 2025 - November 2025 (4 months)
Pune, India
Designed an enterprise knowledge retrieval system using Generative AI to enable engineers to access documents, specifications, and technical knowledge through natural language queries.

Implemented a secure, on-premise RAG architecture using open-source LLMs to ensure IP protection while enabling intelligent search across engineering data.

Impact
• Improved access to engineering knowledge
• Reduced time spent searching technical documentation
• Enabled secure AI adoption in IP-sensitive environments
RAG Python Typescript External API integration Solution Architecture
Accenture
Software Architect
July 2022 - July 2025 (3 years)
Pune, Maharashtra, India
Experience
• Designed and developed an 3DX-SAP integration architecture that enabled scalability, high availability and security.
• Developed and implemented a comprehensive set of best practices for programming that increased code quality and overall system performance.
• Led a team of 30 engineers to successfully develop a major software project for an aerospace customer.
PLM ENOVIA 3DEXPERIENCE SAP Integration API REST