I am an AI engineer and product builder. I work on agent design, evaluation,
product engineering, and the systems teams use to ship AI. At DxO Labs, I
lead the AI Acceleration Team. Outside DxO, I co-founded DailySurf and lead
product engineering. Previously, I studied mathematics and machine learning
at École normale supérieure Paris-Saclay and worked in remote sensing at
Kayrros, CNRS, Inria, and LSCE.
Experience
2023–present
AI Consultant · Head of AI Acceleration Team
DxO Labs · Paris
Joined DxO as an AI consultant in 2023 and became Head of the AI Acceleration Team in 2025 as AI work expanded from early proofs of concept into a dedicated team and production projects.
Silver AI · Agentic image editing for Nik Silver Efex
- Built the first working proof of concept in two months with a senior application engineer: he exposed the application API, we co-designed the MCP interface, and I engineered the agent harness on an existing SDK, designing its prompts and tool schemas.
- Created and now lead the cross-functional team responsible for research, evaluation and benchmark design, application integration, and productization. I supervise the work and contribute directly to research and engineering ahead of a planned research preview.
Other AI acceleration work
- Led George, a production AI assistant used mainly by Consumer Support agents for complex, highly technical tickets. It connects those agents to DxO’s public and internal documentation to help them draft grounded replies.
- Led a reusable localization workflow for DxO’s new website and marketing assets, preserving page structure and product terminology across French, German, Japanese, and Simplified Chinese, with glossary lookup and native-speaker review.
- Built a multilingual video-localization pipeline for product tutorials, from transcription and translation through native-speaker review and handoff to synthesized voice tracks.
- Advise teams across DxO on new AI-first workflows, including stack, architecture, and technology choices.
- Built an AI development workflow with Linear combining human decisions, coding agents, automated gates, CI, and review. It is now used for a new R&D project and by Information Security and Marketing.
2026–present
Co-founder, CTO and product engineer
DailySurf
Lead product engineering for an iOS surf app currently in beta with 250 testers.
- Built the app with TypeScript, React Native, Expo, and Supabase.
- Partner with co-founder Thibaut de Gueyer and beta testers to iterate on the product and identify where DailySurf is most useful to surfers.
2022–2025
Former PhD candidate
CNRS · Inria · LSCE
Researched how to detect, segment, and classify forest disturbances from satellite imagery. Developed a graph-based framework that combined several geospatial datasets to localise events in space and time, and studied phenology to distinguish normal seasonal variation from forest change. The programme ended before completion.
Read the deciduous-evergreen mapping case study or why I left the PhD.
Apr–Oct 2022
Machine-learning research intern
Kayrros
Developed and evaluated a compact 1.6-million-parameter U-Net for land-cover segmentation, compared with alternatives around 20 million parameters. The work focused on stability across dates, seasons, and biomes and reached production use in two biomass studies.
Read the case study.
Education
2018–2022
École normale supérieure Paris-Saclay
Mathematics and machine learning
Normalien; M2 Mathematics, Vision, Learning (MVA), with an interface year at Mines Paris – PSL in engineering sciences. Prix de l’interdisciplinarité 2023.
Speaking
Podcast guest
I-Academy
Comment intégrer l’IA pour gagner du temps en entreprise ?
Technical focus
Tools
Agent systems, evaluation, MCP, Python, TypeScript, React Native, Expo, Supabase, Linear, and remote sensing.
Languages
French: native. English: C1 Advanced. Spanish: basic.