Adobe Experience Manager Experts

AI telephone assistant platform

Claude Code, Google AI Studio, Python, LLM / Voice-AI, PostgreSQL

• Conception and hands-on development of an AI-supported telephone assistant platform (voice AI / LLM) – from idea and architecture to MVP/product.
• Built agentic workflows and full automations with Claude Code and Google AI Studio.
• Also delivered AI-supported work in client engagements: used Claude Code for governance documentation, requirement drafts, and automations.

• Project management of the legal and system-side integration of Taschenkaufhaus into the Voxa group: conversion of all contracts, accounts, and system access rights on the defined cutover date
• Migration from Microsoft Dynamics NAV 2009 to 2013: analysis of all existing interfaces, redefinition of processes, and coordinated go-live without interrupting operations
• Integration of the complaints and returns process into MS Dynamics NAV 2013; major process simplification through standardization
• Introduction of a new POS system (Shopify POS) in all stores: requirements analysis, configuration, rollout, and employee training
• Use of n8n automation workflows for data reconciliation between marketplaces and ERP; manual processes significantly reduced

• Client: Prime Force Group GmbH

Technologies used: Java 25, Spring Boot 4, MapStruct, JSpecify, PostgreSQL, Redis, Liquibase, REST/OpenAPI, Apache Kafka, Apache Solr, OpenID Connect via IronGate/Keycloak, SAP Customer Data Cloud, JUnit, Testcontainers, Karate, Playwright, GitLab monorepo with CI/CD, Jenkins, JFrog Artifactory, FluxCD, Docker, Kubernetes on Azure, OpenTelemetry, arc42, Jira, Confluence

The Team Management Center is the new central platform of the DFB for planning, managing, and carrying out team activities for the national teams - from squad selection and training camps to communication with players, clubs, and legal guardians. The platform is designed for multi-tenancy for the DFB and regional associations; player, club, and master data are intentionally not copied, but connected at runtime via the DFBnet APIs.

I have been involved in the project continuously since the architecture and concept phase (Sprint 0) and work in a distributed Scrum team in two-week sprints. In addition to implementation, my focus is on architecture alignment, connecting the DFBnet interfaces, as well as code reviews and test automation as quality assurance in the team.

Focus areas:

• Development and implementation of the multi-tenancy concept (tenant model for the DFB and regional associations), including data model, access layer, and Liquibase migrations.
• Design of the person service and the search concept based on Apache Solr.
• Integration of the DFBnet APIs (player, person, and club search, club data), including authentication and synchronous master data synchronization.
• Hardening the integration through resilience patterns: separate read timeouts for each search path, correction of circuit breaker counting, limiting parallel requests, and a club cache to reduce load on the external system.
• Development of self-service endpoints for players (own activities, activity details, games), including an access concept for participants, as well as person documents and file uploads.
• Standardization of API design: OpenAPI annotations, nullability model via a custom ModelConverter, JSpecify migration of the DTOs, and documented API guidelines.
• Build and maintenance of Karate-based API and integration tests, integration tests with Testcontainers, test guidelines, and bug triage from the integration and reference environments.
• Code reviews via merge requests, architecture documentation according to arc42, and architecture decisions (ADRs) in Confluence.
• Automated deployment to the integration and reference environments, analysis of login and OIDC issues in combination with IronGate.

Status: ongoing - as of 08/2026 in Sprint 17, around 940 person hours worked; testable delivery to the integration environment every two weeks.

• Further development and operation of a central backend service for providing vehicle inventory for international Mercedes-Benz online shops
• Further development of a reservation service for vehicles as part of the checkout process
• Design and implementation of a highly scalable end-to-end test architecture with a focus on maintainability, reusability, and a high number of automated test cases
• Development of a multi-layer test infrastructure with a strict separation of test logic and access layers
• Development of an initialization and caching architecture to significantly speed up local and CI/CD-based test runs
• Development of an AI-supported review architecture for automated evaluation and quality assurance of end-to-end tests
• Development of a dashboard for consolidated display of a vehicle context across multiple backend systems, including AI-generated summaries and compact case analyses
• Integration and further development of connections to various reservation systems via Apache Kafka and REST
• Design of new microservices and support with architecture decisions
• Risk analysis and design of microservice migrations
• Technologies: Java, Spring, Spring Boot, Gradle, Maven, Apache Kafka, REST, OpenAPI, Swagger, Github, Confluence, CI/CD, Microservices, AI, LLMs

Evaluation and selection of a new endpoint management platform for an environment with around 50,000 clients. Support for a manufacturing company in evaluating a future endpoint management platform as a possible replacement for the existing client management solution. Conducting a structured software selection process including proof of concept as well as preparing the decision basis for the Enterprise Architecture Board (EAM). Defining the technical requirements and evaluation criteria and creating a short list of possible solutions (Tanium, Baramundi, Microsoft Intune / MECM). Planning and supporting the technical proof of concept as well as evaluating the architecture and operations aspects of the different platforms. In addition, evaluating tools for migrating existing software packages from the Ivanti DSM environment. Comparing and testing IDERI Move and PACE for the automated transfer of the existing package structure to the new platform, with the goal of significantly reducing migration effort. Support in selecting the required Tanium modules as well as preparing the decision documents for the Enterprise Architecture Board.

Tools: Tanium, Baramundi, Microsoft Intune, Microsoft MECM, Ivanti DSM, IDERI Move, Pace, Windows 10, Windows 11, Windows Server. VDI

Planning and delivery of cross-target group CRM and loyalty campaigns for the REWE Bonus Program across digital and offline channels. Coordination of cross-functional stakeholders and analysis of campaign performance to specifically improve customer engagement, new customer acquisition, and customer retention.

Product development for the Miele app — design system, UX, and end-to-end product ownership.

• Built and expanded the design system — components, design tokens, dev handoff
• User flows and customer journeys for core app features (device control, recipes, maintenance)
• Usability testing and iterative UX improvements
• AI-powered personalization — smart program recommendations based on usage behavior
• AI tools in the design workflow: automated accessibility checks, Figma AI, rapid prototyping
• User research synthesized with AI — interviews, feedback, and usability data turned into structured insights

• End-to-end responsibility for the successful implementation and continuous optimization of Mediatool for strategic media planning (offline & online).
• Development and management of efficient onboarding, configuration, and support processes for international stakeholder teams.
• Leadership of API integrations to connect external systems (e.g., for result tracking and performance measurement).
• Advising departments on tool usage and development, including workshop design, training, and knowledge transfer.
• Establishment and maintenance of comprehensive PMO tracking for all tasks, milestones, and deliverables.
• Prioritization and documentation of requirements, change requests, and bugs in Jira, with transparent communication via Confluence.
• Systematic evaluation of user feedback to derive data-driven optimization measures.
• Responsibility for the monthly Mediatool communication newsletter, including content creation for users and leadership.

In my role as Senior Cloud DevOps Architect for BP, an oil and gas company, I had the mission to migrate the Electric Vehicle Charging platform of the EV Division from on-premises and Azure to AWS cloud, resulting in a hybrid multi-cloud, multi-tenant SaaS solution.

Deployment with Kubernetes for the application layer meant provisioning Kubernetes clusters managed by EKS and AKS, with a focus on integrating them into a multi-tenant environment. This integration was achieved by using Kubernetes namespaces and access controls to ensure data isolation and privacy enforcement.

In the database layer, we chose an RDS instance with PostgreSQL to support the backend infrastructure of our applications. Tenants shared the same RDS instance, but each had a dedicated schema.

To ingest near real-time data from physical charge points (CPOs), as IoT devices, via the OCPI protocol, we ran into significant delays with batch processing. As a result, we built a real-time streaming data pipeline using Apache Kafka, while prioritizing an event-driven architecture.

Led collaboration across multiple internal teams, external vendors, cloud providers, and on-site partners to integrate over five systems into a unified solution.

Achievements:

• Successfully designed and implemented hybrid multi-cloud solutions, integrating multiple cloud platforms (AWS, Azure) with on-premises infrastructure, using Site-to-Site VPNs, Firewalls, and Load Balancing.
• Led the migration of on-premises infrastructure to multi-cloud, multi-tenant infrastructure, resulting in 30% faster processing times.
• Migrated workloads from VMware and Hyper-V environments to cloud-based VMs, leveraging cloud-native services to optimize performance, cost efficiency, and scalability.
• Designed a multi-tenant Kubernetes platform leveraging the Kubernetes ecosystem, using Karpenter for dynamic EC2 node provisioning, KEDA for event-driven pod autoscaling (e.g., Kafka message lag), and Rancher for centralized monitoring of multiple clusters (EKS, AKS, or on-prem K8s), replacing Microsoft-centric Azure Arc management service.
• Designed and implemented Python-based FastAPI microservices as part of the EV core-backend on AWS EKS application layer, powering data ingestion and customer analytics pipelines.
• Developed asynchronous, event-driven APIs (Python-FastAPI) for real-time integration with CPOs, supporting OCPI 2.3 and OICP protocols.
• Designed and implemented a secure, production-grade Azure Databricks platform using Terraform, ensuring scalability and cost efficiency.
• Migrated on-premises ERP to a hybrid Dynamics 365 architecture with ERP hosted locally and CRM running in Azure, integrated via Azure Arc.
• Automated CI/CD pipelines for Databricks notebooks and jobs using GitHub Actions & Databricks CLI, reducing deployment time. Reduced infrastructure provisioning time by 70% by automating cloud resource deployment with GitOps.
• Ensured compliance with internal audit and data governance standards (GDPR) through OAuth2/OIDC-based authentication and fine-grained role-based access controls.
• Developed a Zero Trust security model, enforcing least-privilege access and microsegmentation, enhancing security posture and compliance with GDPR and NIST.
• Built interactive analytics dashboards in Amazon QuickSight, integrating data from S3 and Redshift to deliver real-time business insights and visualizations with embedded access for multi-tenant users.
• Led cloud security assessments and full-lifecycle cybersecurity integration during M&A, covering AWS, Azure, IAM (Entra ID), and data protection, while aligning security posture with NIST, ISO 27001, and GDPR across hybrid and cloud-native environments.
• Reduced cloud costs by 64% for a client's dev environment by implementing automated start/stop schedules for EC2 and RDS instances via AWS CDK with EventBridge Scheduler or AWS Systems Manager.

Tech stack:

• Infrastructure as Code: Terraform, AWS CDK, Ansible.
• Containers: Kubernetes on EKS, AKS, Docker.
• Streaming Data Processing: Kafka to Confluent Cloud, after AWS MSK.
• Frontend: TypeScript, React, NextJS, Hooks, Styled Components.
• Backend: Python with FastAPI, also Node.js with NestJS.
• Database: Aurora on PostgreSQL with TypeORM, RDS on SQL Server, Azure Databricks full setup and administration, ETL Pipelines.
• CI/CD and GitOps: GitHub Actions, Azure DevOps, ArgoCD.
• Monitoring and Observability: Prometheus and Grafana.
• Virtualization: Hyper-V, VMware Cloud on AWS, Azure Migrate.
• ERP Systems: Odoo, Microsoft Dynamics 365 Business Central on Azure, integrated with Azure Arc.
• Networking: Site-to-Site VPNs, AWS Direct Connect, Azure ExpressRoute, Firewalls (AWS Network Firewall, Azure Firewall).
• Security: IAM, NIST Framework, Zero Trust Security, AWS WAF, AWS Shield, GuardDuty.

• Strategic rebuild and initial integration of the B2B CRM as the basis for a scalable and sustainably automated lead management process
• Building and optimizing CRM processes and CRM campaign management לאורך the entire customer lifecycle
• Developing, planning, and implementing lead generation strategies for trade fairs, roadshows, partner sites, and other relevant B2B touchpoints
• Designing and modeling differentiated customer journeys and workflows for different target groups, touchpoints, and phases of the customer lifecycle
• Designing first-touch and branding flows to systematically move new contacts into automated CRM journeys
• Building lead nurturing processes for automated qualification, activation, and further development of leads until they are ready for sales
• Designing and implementing marketing automations to reduce manual processes and scale the delivery of relevant content
• Developing and optimizing automated lifecycle campaigns based on user behavior, interactions, interests, and lead status
• Campaign management for email marketing and B2B communication, including editorial newsletters, trigger and automation emails, as well as ad hoc campaigns
• Responsibility for newsletter sign-ups as well as optimization of the underlying processes and consent journeys
• Consent management and optimization of opt-in processes as the basis for compliant and scalable CRM communication
• Planning and implementation of ad hoc campaigns including A/B testing as well as continuous optimization of content, sending logic, and conversion
• Analysis and evaluation of CRM performance and derivation of specific measures to increase engagement, lead quality, and conversion
• CRM strategy consulting and workflow modeling with a focus on automation, scalability, and a consistent customer experience
• Technical setup and structuring of data instances as well as coordination and support of data migrations
• Optimization of data and system processes as the basis for automated and target-group-specific CRM communication
• Internal and external stakeholder management as well as coordination of interfaces and external agencies
• Technical project management from strategic concept development through implementation to analysis and continuous optimization

• Responsible for further developing the web shop with focus on stability, security, and scalability
• Support the business in creating and evaluating requirements
• Technology: SAP Commerce Cloud, Adobe Experience Manager CMS (AEM), Solr Search, Adyen Payment Service Provider
• Tools: Confluence, Jira, Miro, ServiceNow

• Self-employed and freelance projects and IT services
• Concept development and UX design / web design / graphic design
• Creative, innovative, responsive and accessible design for websites and landing pages
• Development of designs / websites and landing pages with WordPress as well as WordPress Multisite installations and applications
• Maintenance and support of WordPress websites
• WordPress page builders: Elementor, WP Bakery, Gutenberg and others depending on the theme and project requirements
• Multilingual websites - WordPress - WPML plugin
• Performance optimization
• SEO analysis, technical SEO and SEO on-page optimization
• SEO audits, SEO analysis and evaluation, SEO keyword finding
• Software skills: Adobe Creative Cloud, Photoshop, InDesign, Illustrator, Adobe XD, Office and other tools

• Built Collective Minds as an AI-first company, embedding AI into operating model, delivery and client solutions.
• Built and lead an international offshore delivery organization of 25 professionals, complemented by senior specialists in Germany.
• Act as Interim CDO for ALWITRA, supporting the company-wide digitalization agenda across ERP, CRM, enterprise knowledge, AI, data and operating model.
• Advise managing directors, CIOs and IT leaders on transformation strategy, target operating models, governance, prioritization and execution.
• Own program structures, budgets, staffing, vendor coordination, risks and executive stakeholder communication.
• Develop scalable technology and delivery models across AI, CRM, IAM, integration and manufacturing-related initiatives.

• Content migrations (AEM, Contentstack), SEO optimization
• Editorial planning, image selection, and delivery of digital content
• Reporting, Jira and Confluence use