À propos de Quentin
👋 Senior AI/ML & Full-Stack Engineer - Founder and former CTO
I help companies design, build, and deploy AI-powered products, from early prototypes to reliable production systems.
Over the past 12 years, I have delivered software as a technical founder, CTO, employee, and freelance engineer. My experience combines hands-on engineering, product strategy and team leadership.
My current focus is AI agents and applied machine learning, including:
- Agentic workflows and multi-step AI systems
- RAG pipelines, embeddings, retrieval, and evaluation
- Fine-tuning and custom model training, a lot of that was applied to finance and trading
- Classical and deep-learning models, including XGBoost and MLPs
- AI product architecture, APIs, infrastructure, and production deployment
- AI-assisted software development workflows
I also bring extensive experience as a senior full-stack engineer, particularly with React, Node.js, TypeScript, databases, cloud infrastructure, and distributed systems. This allows me to build the complete product around an AI system, not only the model or proof of concept.
Additional experience:
🌱 Raised €4M+ in seed funding as a founder
🎓 Engineering background from 42, complemented by business and product training at emlyon
👨🏼🏫 React and Node.js trainer for SNCF teams, and AI trainer for SMEs
🎨 Interactive 3D and WebGL development with Three.js
📍 Based in Paris and always happy to meet over coffee
Engagement model: I work on a daily-rate basis rather than fixed-price deliverables.
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km), Paris (jusqu’à 100 km)
Expériences
- PersonalQuantitative trading and Market Researchjanvier 2024 - Aujourd'hui (2 ans et 7 mois)I have a strong background in financial markets, combining experience as an equity analyst, CFA Level I training, and hands-on work on systematic trading strategies. I have researched and built short-horizon models for equities, FX, crypto, and prediction markets, using machine-learning approaches such as linear models, XGBoost, and neural networks. My work has covered data pipelines, signal evaluation, backtesting, execution costs, market microstructure, margin, and broker/exchange APIs, with particular attention to whether a statistical edge remains tradable after fees, spreads, slippage, and financing costs.
- DoleadAI Agent builderAGENCE & SSIIseptembre 2025 - Aujourd'hui (11 mois)Paris, FranceBuilt an AI agent that autonomously tests ~2k Dolead landing pages daily (surveys, cookies, ToS, etc.) and reports errors. Paired it with a performance-checking algorithm (incl. Lighthouse metrics), cutting the time to detect and fix critical production issues.
- ZestCTOTÉLÉCOMMUNICATIONSnovembre 2024 - juin 2025 (7 mois)Built Zest, an AI inbox that automates sorting, drafting, and decluttering. Engineeredfull email stack (IMAP/SMTP , microservices with RabbitMQ, React frontend),integrated Gmail/Outlook OAuth, and passed Google CASA II security audit.Designed AI agent and document summarizer enabling contextual file suggestionsand RAG-based reasoning.
Avis
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Formations
- Développeur422017Low-level : C for algorithms (sorting, solver with time/space constraints, backtracking, etc.) Web : vanilla php /js + jQuery / js + react + nodejs SQL ML : python for ML
- Msc in Management (PGE)emlyon2015