Description

Docteur en Intelligence Artificielle de l'Ecole Polytechnique, ex-CTO & cofondateur (Entrepreneur First et Station F), je conçois et développe des web applications, des agents IA et des systèmes data/IA, du projet simple et rapide à exécuter jusqu’aux plateformes complexes mises en production à grande échelle.

J’ai notamment construit une plateforme SaaS d’IA déployée dans plus de 20 environnements opérationnels, avec un moteur de prévision de séries temporelles pilotant plus de 200 flux quotidiens, 99,9% de disponibilité et des gains business mesurables (+5 à 15% de productivité, automatisation équivalente à ~1 FTE par site).

👉 Je réalise aussi des projets plus légers ou ciblés, sans complexité inutile :

• Web apps simples (POC, MVP, dashboards, outils internes)

• Agents IA (LLM, agents métiers, copilotes internes, automatisation intelligente)

• Automatisation de processus et workflows data

• Algorithmes d'optimisation et d'automatisation

• Data pipelines, scripts Python, APIs

• Amélioration, fiabilisation ou mise en production d’un existant

Mon approche est pragmatique et orientée impact : le bon niveau d’IA et de technique au service du besoin métier, sans sur-engineering.

J’interviens de bout en bout :

• Cadrage produit & technique

• Architecture backend / data / cloud (AWS, GCP)

• Agents IA, ML, optimisation, décision automatisée

• Déploiement, MLOps, monitoring

• Développement de web applications orientées métier

Ce que mes clients apprécient :

• Compréhension rapide de problématiques complexes

• Capacité à vulgariser et à sécuriser les choix techniques

• Autonomie complète, du cadrage à la livraison

• Solutions robustes, scalables et réellement utiles

Que vous ayez besoin d’un agent IA ciblé, d’un outil simple et efficace, ou d’un système intelligent avancé, je m’adapte à votre contexte et à vos priorités.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Alki
Co-founder & CTO
mars 2022 - décembre 2025 (3 ans et 9 mois)
Paris, France
AI SaaS platform for warehouse operations: forecasting, capacity planning & productivity optimization
• Built and scaled an AI product deployed across 20+ warehouses, supporting real-world operational decision-making
• Led the design and industrialization of a time-series forecasting engine managing 200+ time series daily (workload / capacity prediction)
• Delivered 42 PoCs / pilots, driving adoption through iterative product discovery and customer feedback loops
• Improved workload forecasting performance by +15% accuracy, increasing planning reliability and reducing operational risk
• Generated measurable business impact: ~1 FTE saved per warehouse and +5–15% productivity gain depending on warehouse activity
• Achieved 99.9% platform availability through production-grade MLOps, monitoring, QA, and release discipline
• Reduced customer integration time from weeks to minutes via standardized data connectors, automation, and deployment workflows
• Designed and delivered 5 web applications
• Managed the full product & tech strategy: architecture, roadmap, cloud partnerships (AWS / GCP / NVIDIA) and engineering execution
• Led end-to-end delivery: data ingestion, feature engineering, model training, backtesting, deployment, monitoring (MLOps)
• Built and managed a cross-functional team of 6 engineers (product, ML + software), including hiring, onboarding, handling sprint planning, prioritization and delivery quality
• Supported revenue growth to ~€200k/year, aligning product development with commercial objectives
• Managed product/tech budgets and prioritized delivery against business constraints
intelligence artificielle Python Gestion de projet CTO CPO
Entrepreneur First (EF)
Founder in Residence
septembre 2021 - février 2022 (5 mois)
World-class venture building program for founders
• Selected to join Entrepreneur First, focusing on 0→1 venture creation, customer discovery, and product validation
• Incorporated into the Station F startup program, leveraging its network of founders, mentors and operators
• Incorporated into the Wilco program, benefiting from structured support on fundraising, go-to-market and execution
• Ran intensive customer interviews to identify high-impact operational pain points and validate market opportunities
• Designed early product vision, positioning, and business assumptions, supported by rapid prototyping and iteration
Product Discovery Start-up incubateur
TotalEnergies
AI Research Scientist
octobre 2020 - septembre 2021 (11 mois)
• Managed multiple reinforcement learning (RL) R&D projects, coordinating research direction, execution, programming and stakeholder communication
• Led a strategic academic partnership between École Polytechnique and TotalEnergies on a €5M+ program focused on a Home Energy Management System (HEMS)
• Conducted applied research on microgrid energy management using Deep Reinforcement Learning, collaborating with the controlling team to test algorithms on a real-world use case near Lyon
• Created and led a wind farm optimization initiative spanning both design and operations, including offshore wind farm layout optimization pre-construction and wind farm control optimization using Deep RL
• Supervised a 3-person team, covering: wind layout optimization, wind turbine yaw control optimization, and wind farm simulation modeling
• Co-created and launched the first Hi! PARIS hackathon, fostering collaboration between industry and the AI research ecosystem
• Built strong research collaboration with LMD (Laboratoire de Météorologie Dynamique), École Polytechnique, contributing to the Trend X research program
Python intelligence artificielle Reinforcement Learning Gestion de projet