ML, data engineering, and AI strategy — embedded in your team, without the full-time commitment. 10+ years building production ML systems across finance, automotive, computer vision, medical diagnostics, and deep tech. From architecture and model development to hiring your first ML engineer.
Senior AI/ML expertise without a €120K+ salary commitment. Scale your investment to what you actually need.
Not an outside consultant dropping a report — I join your team, attend standups, and ship code alongside your engineers.
Start with a focused assessment, scale to fractional leadership. Adjust as your needs evolve — no long-term lock-in.
Working across industries means I bring proven patterns from finance, automotive, medical, and deep tech to your specific challenge.
A focused exploration of your challenge. I review your data, infrastructure, and workflows, then deliver a prioritized roadmap of ML/AI opportunities ranked by impact and feasibility. Includes build-vs-buy recommendations and a scoped first project proposal.
Days to weeksEnd-to-end ML development from prototype to production. Custom models, data pipelines, infrastructure, self-hosted LLM deployments. I write the code, design the architecture, set up CI/CD, and make sure it actually works at scale. Includes privacy-preserving and sovereign AI deployments.
Weeks to monthsEmbedded as your interim CTO, Head of ML/AI, or technical lead. I own the technical roadmap, make architecture decisions, build and mentor your team, interface with investors, and write production code. Full ownership — then I hand it over.
Months (ongoing)End-to-end ownership — from research and architecture to production deployment and team building.
→ Prevented unnecessary €100K+ equipment upgrade by identifying untapped potential in existing instruments through data analysis and literature research.
→ Delivered real-time on-device processing integrated into Huawei Maps on 100M+ smartphones.
→ Built production infrastructure processing TBs of imagery weekly on Kubernetes with 98% accuracy across varying weather and country conditions.
→ Models deployed for €120B balance sheet forecasting across multiple countries.
→ Developed production variance tracking system reducing manufacturing inconsistency in solenoid valves for luxury automotive.
→ Revenue-optimizing price recommendation engine deployed for hotel chain pricing decisions.
I've built production ML systems across finance & banking, automotive & maps, computer vision, medical diagnostics, engineering & manufacturing, deep tech, privacy & sovereign AI, tourism & revenue, and edge AI. Working across domains means I recognize patterns and solutions that specialists in a single industry often miss.
Machine learning engineer and technical leader with a background in theoretical physics (PhD, University of Groningen; Master's in Mathematics, Cambridge). A decade of building production ML systems — from quantitative finance at ING, to HD maps at TomTom, to leading a computer vision team at Huawei R&D Amsterdam, to interim lead data science for a medical diagnostics startup.
What I bring is a rare combination: I can design a neural network architecture, set up the GPU infrastructure to train it, build the production API to serve it, and explain it to investors. I write the code myself, then build the team to maintain it. I also run Data Driven Lab Consulting and write at sjoerddehaan.com.
Go Grow AI B.V.
Go Grow AI — ML/AI consulting (general)
Data Driven Lab Consulting — Science & engineering
Turnerstraat 27D
1076 VC Amsterdam
83138218
NL862745809B01
sjoerd@gogrowai.com
+31 6 12261747
Book a free 30-minute discovery call. We'll discuss your challenge and figure out whether a fractional engagement makes sense. No pitch, no pressure — just a conversation about what's possible.