29.09.2025 aktualisiert
Premiumkunde
100 % verfügbarCreative Generalist, AI and Data Platform Architect (Azure,AWS)
Nürnberg, Deutschland Dipl.-Wirtschaftsinformatiker (FH)
Skills
Microservices ArchitekturenAmazon Web Services (AWS)Microsoft AzureAPI Management und Workflowiot industrie 4.0IOT solutionOpenAIKünstliche IntelligenzEdge ComputingReactBig Data AnalyticsN8NSupabase
Specializing in architecting and implementing next-generation robotic process automation systems through a generative AI-first approach. I design and build transformative enterprise solutions that fundamentally reimagine how organizations operate, moving beyond traditional automation to intelligent, adaptive systems.
My focus centers on specification-first code generation methodologies, enabling rapid development of robust, scalable solutions that bridge the gap between business requirements and technical implementation. By leveraging large language models and advanced AI frameworks, I create self-documenting, maintainable systems that evolve with organizational needs.
Drawing from 20 years of enterprise IT experience, I bring deep understanding of legacy system challenges while pioneering AI-native architectures. This unique perspective allows me to seamlessly integrate cutting-edge generative AI capabilities with existing enterprise infrastructure, ensuring practical, production-ready solutions.
I'm passionate about transforming how we approach system design—where AI becomes the primary driver of architecture decisions, code generation flows directly from clear specifications, and traditional development constraints give way to intelligent, adaptive automation.
Currently building the next wave of enterprise systems where artificial intelligence isn't just a feature, but the foundational principle that guides every architectural decision.
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Evaluating business cases and building agentic systems and genAI-powered solutions for regulated industries.
Designed and implemented a system for virtual AI employees which manage contracts in energy trading.
Konzeption Maschinen-nahe Software
- Microservice basierte Architektur basierend auf Docker und Microsoft Azure IoT Edge
- Programmiersprachen C#, Python, goLang, Javascript, nodeJS/Typescript
- Azure DevOps Build-Pipelines und Git(flow)
- Internationale Teams mit SCRUM und Kanban
- Regionale Datencenter mit Azure native cloud-services
- Serverless (Azure functions) mit API Management (REST Services)
- Azure DevOps Build-Pipelines mit Git(flow)
- Telemetriedatenverarbeitung mit Azure IoT hub, EventHub/Grid, ADX
- Oberflächen mit Azure Web Apps / Angular 12+
- IaC with Terraform