About Elliott
- Cutting-edge Agentic AI: RAG, Graph-RAG, LLM orchestration, multi-agent systems
- Advanced R&D: Continuous technological monitoring, prototyping of the latest AI innovations
- Full Stack: Python, LlamaIndex, AutoGen, AWS/GCP, from design to deployment
- 360° Vision: Capable of managing all aspects of an AI project (tech, product, business)
French
Native or bilingual
English
Fluent
German
Basic
Spanish
Basic
Experience
- Mathieu
On Malt
Preliminary Step from POC to MVP VoltaOctober 2025 - November 2025 (1 month)I developed and optimized an advanced AI agent using LlamaIndex with a functionAgent architecture. The project includes:- Implementation of a multi-tool agentic agent with intelligent orchestration- Integration of business tools and MCP protocol to extend capabilities- Production deployment with robust CI/CD (GitHub Actions, Docker containerization) on GCP in serverless.- Seamless integration into your existing SaaS via REST API- Optimization of prompts and agent behavior fine-tuningTechnical Stack: Python, LlamaIndex, LLMs (GPT and preparation for custom models), Docker, CI/CD, API integrations, GCPResult: High-performing, scalable, and maintainable agent in production - Cinco AIAI R&D Engineer - Agent Platform Co-DevelopmentJune 2025 - Today (1 year)Bordeaux, FranceProprietary LLM agent platform - From R&D to MVPDescription:Design and development of a comprehensive platform for advanced conversational agents with memory and contextualization capabilities for business applications.Key Achievements:•Advanced AI Architecture:Design of the proprietary LLM agent platform with a persistent memory system and intelligent contextualization•Sophisticated RAG Technologies:Implementation of classic RAG, Graph-RAG, and MCP Server with vector databases for optimal context•Comprehensive Data Management:Automated system for managing files, artifacts, import/export, and dynamic active memory backup•Product Leadership:Strategic collaboration with founders on the product roadmap, managing the POC → MVP transition•User Research:Multi-sector product discovery to identify priority use cases and specific business needsTechnologies Used:Python, LlamaIndex, AutoGen, Graphiti, Vector Databases, RAG/Graph-RAG, MCP Protocol, NEO4JImpact:Functional platform enabling the deployment of contextual and memory-enabled AI agents, tailored to the specific needs of various business sectors.
- IzimailFounderJune 2025 - Today (1 year)Chrome extension that integrates AI directly into webmails (Gmail, Outlook, Yahoo). The tool allows for correction and generation of drafts in one click, with an AI assistant that edits text in real-time according to user needs.Technical Achievements:- Development of an algorithm for detecting and parsing email HTML tags- Creation of an AI agent to analyze email threads and suggest contextual responses- System of customizable prompts and predefined actions- Complete SaaS architecture with a Chrome extension as well- Stripe integration for payment and subscription management- User dashboard with analytics- Cloud infrastructure with automated CI/CD pipelineTechnologies Used:Python (AI backend), JavaScript (Chrome extension), Vertex AI and Open AI Platform natural language processing APIs, Stripe API, AWS/GCP, DockerResult:End-to-end solution enabling users to send impeccable professional emails in seconds, without leaving their usual interface, ready for commercialization.
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Education
- Master's degreeInstitut d'Optique Graduate School2020Master's degree
- lycée Sainte-Marie Grand lebrun (MPSI/MP)2017