Building scalable, AI-powered, regulatory-compliant cloud platforms that deliver massive business impact.
Open to freelance consulting (Germany, Switzerland, US) and full-time senior roles worldwide.
Senior Cloud & AI Engineer with 7+ years of hands-on experience designing and delivering mission-critical platforms for banking, automotive, fintech, and mobility sectors.
Specialized in hybrid cloud architectures, AI document intelligence, regulatory reporting solutions, Kubernetes, Terraform, and Java/Spring Boot backends.
I help companies automate complex processes, achieve regulatory compliance at scale, and significantly reduce manual effort using cutting-edge AI and cloud technologies.
Open to freelance consulting and contracting (preferred in Germany & Switzerland, also US/remote) as well as permanent full-time senior roles with relocation willingness.
I design, architect, and implement modern cloud-native and AI-powered solutions across all major hyperscalers — AWS, Google Cloud Platform, and Azure. I specialize in integrating the latest AI models and building sophisticated agentic workflows. In addition, I deliver full-stack cloud development with a strong focus on Java/Spring Boot applications, Infrastructure as Code with Terraform, Kubernetes orchestration, hybrid cloud architectures, and enterprise-grade security and regulatory compliance.
End-to-end design, development, and deployment of AI-powered solutions using models and services from AWS, Google Cloud, and Azure. This includes not only direct API integration but the complete surrounding architecture — building scalable microservices, hybrid cloud pipelines, on-prem connectors, data processing flows, orchestration layers, security, and compliance controls so that AI capabilities can be reliably called from both cloud-native and on-premises systems.
End-to-end design and implementation of hybrid cloud architectures that seamlessly bridge on-premises infrastructure with public cloud platforms including AWS, Google Cloud Platform, and Microsoft Azure. I architect event-driven systems using Pub/Sub, Kafka, and Service Bus for reliable message orchestration, deploy serverless compute with Cloud Functions and Lambda, and integrate analytics layers with BigQuery, Redshift, or Synapse. Every solution is designed for high availability, disaster recovery, and secure data flow between environments — enabling enterprises to modernize incrementally while preserving existing investments.
Design and delivery of high-performance, regulatory-compliant reporting platforms for financial institutions operating under SRB, ECB, and other European banking regulations. I build scalable batch processing systems using Spring Batch and enterprise databases like DB2 and Oracle, capable of transforming and validating entire bank balance sheets within sub-24-hour windows. Solutions include comprehensive audit trails, data lineage tracking, validation frameworks, and automated quality controls — ensuring accurate, timely submissions that meet the stringent requirements of resolution planning and supervisory reporting.
Production-grade Kubernetes deployments across all major managed services — AKS, EKS, and GKE — along with complete infrastructure automation using Terraform. I design cluster architectures with proper networking, ingress controllers, service meshes, and autoscaling policies, then codify every resource for repeatable, version-controlled deployments. This includes CI/CD pipeline integration, GitOps workflows, Helm chart management, secrets handling, and comprehensive monitoring with Prometheus and Grafana — giving your teams the ability to deploy, scale, and operate containerized workloads with confidence and minimal operational overhead.
Enterprise-grade Java application development using Spring Boot, Spring Batch, and the broader Spring ecosystem across Java 8 through 21. I build robust backend services with RESTful APIs, complex data transformation pipelines, and high-performance SQL integrations against relational databases including PostgreSQL, MySQL, and DB2. Every project includes comprehensive testing strategies with JUnit and Mockito, clean architecture principles, proper logging and observability hooks, and thorough documentation — delivering maintainable, performant systems that integrate seamlessly with your existing enterprise landscape.
Comprehensive cloud security architecture and implementation across AWS, GCP, and Azure, following zero-trust principles and least-privilege access models. I design and deploy CMEK encryption, Private Google Access, Workload Identity Federation, RBAC policies, Azure Managed Identities, and secrets management via KeyVault, Secrets Manager, or HashiCorp Vault. Every solution is built with regulatory compliance in mind — whether GDPR, SOC 2, or industry-specific mandates — ensuring your data and workloads are protected end-to-end while maintaining full auditability and traceability for compliance reporting.
Ready to build your next cloud platform or AI solution?
I'm available for freelance consulting, contract work, and full-time positions.