Nasr Kasrin (Dr.)
Solution & Platform Architect
Nuremberg Metropolitan Region
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), where I own architecture and engineering end-to-end and also apply what I’ve learned about building reliably with AI-assisted development — practical evidence I bring into how I design systems and set engineering practice, not a separate specialty.
Before that: Lead Solution Architect at PUMA (two engineering teams, performance and reliability programs), 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 later formalized.
## Selected work
- Pflegebericht.com (2025–present) — co-founded a care-documentation app for German Verhinderungspflege carers; own product, architecture, and engineering. 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
- Solution & platform architecture. System design, data platforms, integration, and technical roadmaps — from a €3.5M multi-partner consortium to a production company platform.
- Data architecture. Federated data sharing, governance, and interoperability — doctoral research through production systems.
- Technical leadership. Leading engineering teams, stakeholder alignment, and delivery — with hands-on building when it’s useful, including current, practical fluency in AI-assisted engineering.