About Vincent
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- MagifyFounder & CTOEDUCATION AND E-LEARNINGFebruary 2025 - Today (1 year and 4 months)San Francisco, United StatesMagify is an Agent as a Service (AaaS) platform that allows any expert to create, deploy, and monetize AI agents without technical skills.🛠️ Stack & skills used:
- LLM orchestration: LangChain, LangGraph, Function Calling, RAG, Few-shot learning, Prompt Engineering
- Models: OpenAI, Google Gemini, Sonnet
- Front-end: Next.js (App Router), React.js, Tailwind CSS
- Back-end: Node.js, FastAPI, Python
- Databases: PostgreSQL, MongoDB
- Infrastructure: AWS (S3, SES), Linux Server, Git
- Payment: Stripe
- ChatBot: On Telegram with integrated payment + MCP servers
- Cross-functional expertise: UX/UI, Product Design, Digital Strategy, SaaS, Chatbots
👥 Recruitment & tech leadership:I built a team of high-level developers specializing in AI, full-stack, and DevOps. We iterate quickly, with a constant focus on code quality, scalability, and delivery speed.🔁 Key features developed:- AI agents deployable on Telegram
- Dynamic agent workflows
- No-code agent configuration interface
- Complete conversion funnel + user dashboard
- Modular architecture designed for scaling
📌 Magify is an AI SaaS designed for rapid bootstrapping and controlled growth, with a modern, robust stack optimized for product iteration. - Synthetix-aiDesign of a Multi-Level AI Agent Team for Data Analysis and ReportingTECHSeptember 2024 - December 2024 (3 months)Paris, FranceThis project pushes the boundaries of multi-agent architectures by combining advanced prompting, prompt fine-tuning, few-shot learning, and function calling to orchestrate complex interactions. Organized in a modular hierarchy, the agents rely on supervisors capable of directing sub-agents, ensuring optimal coordination.-Specialized Agents:SQL Query, RAG, PowerPoint generation, visual dashboard creation, Python code generation and testing.Each agent leverages function calling to execute tools contextually.-Supervisor with Long-Term Memory:Interacts via an enriched chatbot, managing complex workflows with a global view of the data.-Performance-Centric API Pipeline:Smooth interaction between agents, supervisors, and users via API, integrating statistics and automated tests.Cutting-Edge Tech Stack: Python, FastAPI, MongoDB, MySQL, LangChain, LangGraph, OpenAI, Anthropic.==> A modular and scalable solution designed for analysis and automation tasks requiring precision and sophistication.
- NDACTOTECHMay 2024 - August 2024 (4 months)Development of a market trend analysis tool from social media conversations and scraped data.- Social media scraping- Development of NER models- LLM Fine-Tuning- Development of AI agents for SQL querying, data analysis, chatbot, etc...Agents React Langchain/Langgraph
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Education
- Embedded Systems EngineerECE Paris2020J'ai effectué le cursus ingénieur à l'ECE Paris en alternance. J'ai pendant ces trois années d'alternance perfectionné mes compétences en développement logiciel et systèmes embarqués.
- DUT GEIIUniversité Savoie Mont Blanc2016J'ai suivi la formation de l'IUT d'Annecy le vieux en Génie Electrique et Informatique Industrielle, où j'ai appris toutes les bases de la programmation.