Nasr Kasrin (Dr.)
Architecture & Platforms
Nuremberg Metropolitan Region, Germany
Architect, hands-on builder, and engineering leader with 15 years across enterprise platforms (PUMA), a €3.5M EU manufacturing consortium, and a PhD in federated data architecture. I anchor in architecture: designing metadata-driven, AI-native systems that absorb change without breaking the products built on them — and I set the engineering practices that let teams of any seniority build with reliably.
More about me
Currently co-founder of a production healthcare app (Pflegebericht.com) built with an AI-first methodology I designed: architecture conventions that keep AI agents effective, quality gates that catch AI-generated drift, and the human-architect role that maintains system coherence.
Before that: Lead Solution Architect at PUMA (two engineering teams, performance and reliability programs, early AI/LLM tooling pilots), and a €3.5M EU aerospace-manufacturing consortium where I designed and directed cross-organizational data sharing between 8 partners in 5 countries — work my PhD on federated data architecture formalized.
I’m now bringing all three together inside an organization: architecture as the anchor role, AI-native engineering and data as the specialty, collaboration and coaching as the operating mode.
## Selected work
- Pflegebericht.com (2025–present) — co-founded a care-documentation app for German Verhinderungspflege carers; built with an AI-assisted engineering methodology I designed. Live product.
- PUMA.com (2024–25) — Lead Solution Architect, two engineering teams, performance and reliability programs.
- SIMUTOOL (2015–21) — €3.5M EU aerospace consortium, cross-organization data systems.
- PhD (Bamberg, 2023) — federated (meta)data architecture.
- Lomisoft (2025) — architecture advisory for early-stage healthcare SaaS.
## Where I’m strongest
- AI-native engineering. I design the practices that make AI-assisted development work in production: architecture conventions that keep AI agents effective, quality gates for AI-generated drift, harness and documentation design.
- Data & platform architecture. Metadata-driven systems, federated data sharing, governance and interoperability — from doctoral research to production systems.
- Solution architecture & technical leadership. Reliability, system design, technical-debt programs, roadmaps. Hands-on when useful.