Experience depth
20+
Years across product, engineering, platform, cloud, AI, and enterprise delivery leadership.
Independent end-to-end product development for teams that need product, engineering, compliance, delivery, and operations to move as one system.
End-to-end product development
available for selected engagementsI work with enterprise and regulated teams that need one accountable partner across product framing, engineering management, platform decisions, release process, operational readiness, and the actual build. The goal is not just shipping features. It is getting the product, delivery model, and operating system to fit together.
Useful when product, delivery, release, and live operations cannot be split across five different suppliers.
Experience depth
20+
Years across product, engineering, platform, cloud, AI, and enterprise delivery leadership.
Core domains
06
Product management, engineering management, compliance, CI/CD, operations, and implementation.
Lead surface
01
One accountable partner across shaping, building, releasing, and operational handover.
Operating model
My background sits across product management, engineering leadership, and hands-on delivery. Recent work spans sovereign AI, enterprise-grade backend systems, release pipelines, cloud deployment, observability, and operating models that need to survive procurement and production.
Before working independently, I held product and leadership roles across Adobe, Aleph Alpha, Build.One, and earlier SaaS environments. The common thread is connecting product decisions, engineering execution, stakeholder alignment, and operational discipline rather than treating them as separate workstreams.
That usually means stepping into work where the product plan, engineering model, compliance posture, and release system all need to be brought into one coherent delivery motion.
Selected background
Sovereign AI systems, product framing, RAG prototypes for German legal material, observability, evaluation pipelines, and secure cloud or self-hosted deployment.
Government-facing RAG product design, StackIT deployment, engineering collaboration, API strategy, and regulated workflow design.
ML platform infrastructure, model lifecycle tooling, multi-cloud strategy, shift-left security, developer experience, and cost engineering.
Typical scopes
Typical stack areas include product planning, Python, TypeScript, FastAPI, Kubernetes, Terraform, tracing, evaluation workflows, platform architecture, and operational controls.
Enterprise expectations
Clear scope, grounded priorities, and product decisions that reflect both user value and implementation cost.
Engineering management, compliance-aware execution, and release systems that stand up to scrutiny.
Documentation, observability, run-ready systems, and a handover the internal team can actually inherit.
Contact
For end-to-end product development, send the current product goal, delivery bottleneck, timeline, and the compliance or operational constraints around it.
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