Engagements

Three ways to work together

I maintain a small, selective client roster. Every engagement is long-term by design. Choose the shape that fits your situation — the depth and timeline vary, but the senior ownership doesn't.

01

Embedded AI Partner

For companies that need a senior AI/data function without the headcount.

Ongoing retainer — a dedicated senior engineer, not a rotation of contractors
Full stack coverage: data pipelines, ML models, generative AI, agentic systems, dashboards
Attend your planning sessions, present to your stakeholders, own the AI roadmap
Finance, Product, and Marketing all work with me directly — not just developers

Current example: multi-year embedding at Enfocus (Belgium) — Finance, Product, and Marketing all depend on systems I built.

02

Architect & Ship

For companies with a defined problem and a deadline.

Fixed-scope project: I design the architecture, build the core, hand it over production-ready
Domains: predictive models, RAG pipelines, agentic workflows, computer vision, SaaS AI features
I design, build, and delegate the right parts while retaining AI ownership
Handover includes documentation, testing, and a working production system

Current example: maritime intelligence SaaS (Tethys Naval) — designed the architecture, integrated multi-source AI, delegated standard backend, retained AI layer.

03

AI Strategy & Prototype

For leadership teams that need clarity before commitment.

Scoped engagement: audit existing stack, define AI roadmap, build a working prototype
Output: architecture document, proof of concept, and implementation brief
Useful before a major hiring decision or a platform rebuild
Clear deliverables, fixed timeline, no open-ended commitment required

Right engagement if you need to answer: "What should we build, and how?"

Domains

What I build across all engagement types

Predictive analytics & churn modeling Generative AI & RAG pipelines Agentic systems & workflow automation Computer vision & robotics Revenue forecasting & financial BI Big data pipelines (Apache Spark) MLOps & production deployment Stakeholder dashboards (PowerBI)

Academic

Teaching

I teach Big Data Analytics at ISG Lille (Master's level, in French). 60+ hours delivered to date. This runs in parallel with consulting — not instead of it.

Not sure which engagement fits?

A 30-minute call is usually enough to figure out the right shape. No commitment required.

Book a 30-minute call