Operator · Systems Builder · Founder
Operator with 10+ years of experience across e-commerce, marketplaces and international scale-ups.
An execution-first approach focused on systems and measurable results.
Workflows, internal tools, KPI dashboards and operating cadences that replace manual coordination.
Within 24–48h, I map constraints and identify the highest-leverage actions.
Operating model, roles, processes, reporting and execution rhythm to make growth repeatable.
Pricing engines, computer vision, automated workflows and internal assistants — with real code.
Experiences that matter when you need to structure, simplify and scale.
Designed and built Teneolog end-to-end, a B2B deep-tech SaaS that validates in seconds whether a heavy-freight delivery is actually feasible (access, turns, manoeuvre, entry/exit). Full stack solo-built: API, workers, geospatial engine and kinematic analysis, all the way to production.
Building an AI-driven pricing and operations engine for the European moving market (€10Bn total, €2Bn in France). Designing the full stack: dynamic pricing, computer vision, supply-side back-office and end-to-end booking workflow.
I am an operator with 10+ years of experience across e-commerce, marketplaces and international scale-ups. My background combines finance, operations and systems design, with a focus on turning messy growth into structured, scalable execution. I have operated across Rocket Internet, Jumia, Orami, Ligerio and Moverz, from multi-country restructurings to AI-driven pricing systems and logistics-heavy e-commerce scale-ups. I am currently building Moverz and studying Computer Science / AI at Harvard to deepen the technical layer behind the systems I build.
In most high-growth companies, the real problem is not strategy. It is execution: slow processes, scattered information, repetitive manual work, weak visibility on what is actually happening.
My view is simple: to scale durably, you need to think in systems. Where does data get lost? Which handoffs create friction? What should be automated, controlled or made visible?
I do not just recommend tools or dashboards. I design with teams a practical operating system: workflow tracking, control points, AI-enabled automation and management routines that reduce manual work and stabilize execution.
That is why I build tools myself (TypeScript, AI, automation) and study Computer Science / AI at Harvard: to connect business goals, field execution and the technical layer that truly simplifies the company.
My work does not stop at recommendations. Together with teams, I build systems that run every day and make the company more reliable and measurable.
On the systems side: pricing engines, workflow automation, internal tools, KPI dashboards and operating cadences that replace manual coordination.
On the operations side: process mapping, role clarity, execution rhythms, supply/demand management and bottleneck resolution.
On AI and automation: dynamic pricing logic, computer vision pipelines, internal assistants and routines that remove manual work without adding complexity.
Diverse environments. Same objective: structure, simplify and scale.
A few examples of what I have built, described at a non-confidential level. Context, system built, result.
Founder: designed and built end-to-end a B2B SaaS that validates in seconds whether a heavy-goods vehicle can actually deliver to an address (access, turns, manoeuvre, entry/exit). System: geospatial engine (PostGIS, IGN orthophotos, Street View), Vision AI, heavy-vehicle routing and kinematic turn analysis. Output: OK / NOK / review verdict + confidence score + actionable alternative. Solo-built from idea to production (API, workers, infra).
Built a dynamic pricing and operations engine for the fragmented European moving market. System includes: 100+ variable pricing model, computer vision (photo → inventory → price), supply-side back-office with 20+ parameters, and end-to-end workflow from qualification to booking. Result: €1M+ in customer quote requests within 3 months of launch.
Co-founded and scaled Ligerio to €10M+ revenue in 4 years. Built the operating infrastructure that absorbed 50–100% YoY growth: logistics throughput x20, team of 40+, transition from dropshipping to consignment + warehouse model, 200k+ monthly visitors.
SWAT operator in high-risk African markets. Built finance and control functions from scratch. Led audits, restructurings and stabilizations. 22 entities, 550+ employees, 60+ direct reports across multiple countries.
