Freelancer profile translated to English.
Back to original languageAbout Lenny
I am a curious person. I have worked in the medical, space, and defense fields. Today, I design AI solutions to automate business processes and transform how companies leverage their knowledge.
AI Engineer & Product Builder specialized in:
→ Developing RAG systems to effectively leverage business knowledge
→ Designing AI agents capable of automating complex tasks
→ Automating business workflows with n8n and agentic technologies
→ Automatically generating reports, documents, and analyses from business data
🚀 Co-founder & Product Builder at Seement.ai
🧠 AI Engineer/Researcher - Nexus Project (MINES Paris PSL)
🎓 ESIEA Paris Engineering School
🎓 Scientific preparatory class - Lycée Léonce Vieljeux
French
Native or bilingual
English
Conversational
Can work on-site
Paris (up to 50km)
Experience
- seement.aiCo-founder & Product BuilderCIVIL ENGINEERINGJanuary 2026 - Today (7 months)import their field photos, add their observations, instantly generate structured and professional reports in PDF or DOCX.CRM & customer management, email automation, quotes & invoicing, intervention tracking, document centralization.
- MGA TechnologiesR&D Engineer – AI Document Search Systems (RAG,MECHANICAL ENGINEERINGAugust 2025 - November 2025 (3 months)FranceI am currently developing for MGA Technologie a multimodal RAG-based document search system, designed to facilitate quick access to technical and scientific information in mechanics.We can input quite complex documents of all types: CSV, Xlsx, PDF, Images, scanned documents. And it uses several LLMs or integrated pre-processing tools in the app to retrieve its textual data elements to integrate them later into a RAG. The process is as follows:We input our document, the document extracts the information, it is sent to create the vectors to integrate them into a RAG. There is a complementary diagram in my portfolio.
- Executive Education MINES Paris - PSLAI Engineer/Researcher – RAG, Autonomous Agents & Cognitive GraphsRESEARCHAugust 2025 - Today (1 year)Paris, FranceIn Nexus, each note functions as an AI agent with capabilities: semantic analysis (LLM), meaning extraction, intelligent linking, automatic detection of key concepts, dynamic contextual enrichment, proactive information reorganization.We use an architecture with Obsidian as a second brain to store and read context, for semantic search, a powerful and fast knowledge graph system called Neo4j which uses consistency matching with a whole context on a basis of human relationship links between logical context nodes. Then, Hermes controls the management of this second brain via an orchestrator agent and sub-agents that act to create content. It acts as a daily project management assistant that feeds and learns.
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Education
- Computer EngineeringESIEA - Engineering School in Digital Sciences and Technologies2021Ingénierie informatique
- ATS preparatory class - specialized in Maths/PhysicsLycée Polyvalent Léonce Vieljeux2018Science de l'ingénierie