About
Independent expert review for slow, costly or unreliable data platforms.
I help CTOs, Heads of Platform and engineering teams diagnose and fix performance, reliability, scalability and cost issues on complex data, cloud and AI infrastructure.
I do not sell generic cloud advice or staff augmentation. I’m called when systems are too slow, too costly, too fragile or too complex to reason about internally, and the team needs an independent read before spending months in the wrong direction.
Background
15+ years of hands-on production experience in distributed systems, data platforms and private cloud. PhD in numerical optimization with a 10-year HPC background. I combine PhD-level numerical optimization, HPC background and deep production experience across the systems that create real cost and risk in data platforms: Spark, Kubernetes, Ceph, MinIO, Kafka, Cassandra, ScyllaDB, PostgreSQL and AI infrastructure. I’ve worked across banking, telecom, aerospace and satellite imagery. In these environments, performance and reliability have direct business impact.
Where I’ve gone deep
- Multi-petabyte data lakes on private cloud
- Spark on Kubernetes: performance, reliability, cost
- Kafka pipelines: sizing, performance, reliability
- Object storage at scale: Ceph, MinIO, S3
- Cassandra and ScyllaDB in production / banking contexts
- Satellite imagery and geospatial pipelines
- HPC and numerical optimization
- AI infrastructure and training data pipelines
- Private cloud architecture and capacity planning
How I work
Remote-first, scoped engagements with clear deliverables. I prefer short, high-leverage interventions (audits, flash reviews, expert calls, fractional advisory) over long staff-augmentation missions. The goal is to leave teams with a sharper picture of their system and a prioritized roadmap, not a dependency.
Based in Bordeaux, working with clients in France and internationally.