Senior Data & MLOps Engineer. Six years designing data platforms and AI systems for companies where reliability is non-negotiable. Alongside, I design and operate my own SaaS products.
For seven years, I've designed and operated data platforms for companies where systems must hold: EDF, Ornikar, Traxens, CMA CGM, Yubo. Real-time pipelines, cloud infrastructure, MLOps at scale, measurable backend optimizations.
In 2025, I took a year to found Marty and learn what no salaried position would have taught me: designing a product end-to-end, talking to customers, shipping fast, measuring what actually matters to a user.
I came back to work as a more complete engineer: still technical, but with a product and business perspective that few engineers have. Alongside, I keep my own products alive.
Side projects in production. Designed, built, and operated solo.
SaaS · Construction trades
AI-powered platform helping tradespeople market themselves online. Lead platform comparator, profitability simulator, contractor network under their own brand, AI agents for content creation.
marty-app.com →SaaS · Sourced SEO
SEO content generation pipeline sourced from official data: INSEE, Légifrance, ANAH, DREES. Designed for sectors where Google rewards E-E-A-T: real estate, law, healthcare, construction.
valyra.app →Data & MLOps Engineer
High-volume social platform. Data pipelines, MLOps infrastructure, ML model deployment at scale.
Production ML at scale
High-throughput data pipelines
Senior Data & Backend Engineer · Lines Transformation
Data engineering lead on a strategic data-intensive application for shipping lines. Industrialized a constrained optimization algorithm in a few weeks, outside initial scope.
–50% ELT processing time
–60% Docker image size
–40% CI build time
MLOps & Data Platform Engineer
Managed GCP data infrastructure, batch and real-time ingestion on Airflow, full MLOps stack overhaul. Handled a critical data crisis under time pressure.
–90% MLOps infrastructure cost
99% uptime across environments
Hundreds of GB/day ingested
Backend & Data Platform Engineer
Real-time Kafka / Solace / Redis streaming for an IoT fleet of 32,000 devices. Kubernetes CI/CD for batch and streaming workloads, FastAPI ML scoring APIs in production.
Reporting latency: hours → minutes
Releases: days → minutes
32,000 devices monitored
Data Scientist & Engineer
Data pipelines, APIs, and ML projects in offshore logistics, nuclear energy, and insurance. Technical foundations.
Maritime fleet optimization
Automated budget overrun detection
Applied ML & NLP
A data project, an opportunity, or just a conversation about engineering, products, or solo building. The door is open.