Technical Debt Experts in Germany

• Responsible for infrastructure, operations, network and VoIP, security, quality assurance, as well as asset management and business continuity
• Planning and implementation of all requirements related to NIS 2.0
• Responsible for application development
• Company-wide implementation of SAP S/4Hana and leading development of new business processes, incl. cut-over planning
• Digital transformation and cultural transformation toward a "doer mentality"
• Realignment of infrastructure (hybrid)
• Restructuring of the organization with partial outsourcing
• Management of four direct reports with a total of 25 internal and external employees
• Budget responsibility of up to €25 million

Enhancement and modernization of a mature Aspire backend application in the environment of a utility company, focusing on new business requirements, testing, legacy code cleanup, and stable backend delivery.

Core contributions & results Implemented new business requirements in the context of customer orders, subcontractors, and cross-company backend processes, and ensured consistent workflows in a distributed system landscape. Modernized existing backend components step by step and reduced technical debt through targeted legacy code cleanup, refactoring, and structured code reviews. Improved the testability of business-critical services by expanding automated tests with xUnit, AutoFixture, and clearer validation structures. Supported the further development of workflow automations and integration processes via microservices, messaging, and API-based communication. Took over source code from external firms, systematically checked code quality, and derived technical improvements for maintainability, stability, and integration. Worked in agile development processes with Jira, Confluence, and Azure DevOps and supported cross-team alignment on architecture, quality, and implementation. Technical metrics Technologies & methods C#, .NET, ASP.NET, ASP.NET Core, Aspire, Docker, RabbitMQ, gRPC, REST API, Swagger, Microservices, NServiceBus, AutoMapper, Autofac, xUnit, AutoFixture, FluentValidation, Entity Framework Core, MediatR, Redis, Consul, Serilog, SonarQube, Azure DevOps, Azure Monitor, GitLab, Google Protocol Buffers, IronPDF, Mailjet, Jira, Confluence, Miro, agile development, Scrum, code reviews, refactoring, legacy code cleanup, workflow automation, power grids

maturing their API Practices on both, a Business and Technology level. My role encompasses strategy, architecture, developer advocacy as well as hands on software engineering, enabling both technical teams and business leadership to adopt and act on API- centric principles effectively. Coincidentally, we also establish GitOps, DX and Platform Best practices with this project.

Highlights:

• Aligning executives with the initiative by clarifying strategy, replacing misconceptions and myths with facts, clarifying the value of existing assets and enabling informed decision-making
• Formulating a way forward for API Lifecycle Management at OTTO
• Driving platform progress and fostering developer engagement by hands-on engineering work towards strategic goals

API Lifecycle Management, Team Topologies, Organizational Evolution, Regulatory, Platform Advocate, Developer Platform, Communities of Practice, Terraform, Kotlin, Kafka, Kong, WSO2, Apigee, Gravitee, Backstage, AsyncAPI, OpenAPI, API Design, AWS, react, nodejs, typescript, redocly, reactive programming, CDC, golang, gingonic, GitOps, DX (developer experience), stakeholder management, roadmaps, workshops, discovery.

Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation

• Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
• Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
• Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up

• Agile coach and scrum master in property insurance/underwriting for Allianz Technology
• Team 1: Kanban/Scrumban team in DevOps mode – new features, distributed monolith to microservices, reduction of technical debt & refactoring, implementation of CI/CD, expansion of automated testing
• Team 2: SAFe team – greenfield service for global software and German adaptation, AI integration (Cythora)
• Scrum trainings, scrum manuals in Confluence, all ceremonies, establishment of an experimental just culture, team replacement and scaling from 7 to 20
• Requirements engineering, prioritization via business value for product owners, risk identification
• Project budget management, JIRA monitoring and automation, steering committee support, test strategy
• SAFe integration, PI planning, flight levels and road mapping

• Built a JTBD-based prioritization framework for 3,000+ accumulated feature requests, identified 27 broker jobs, validated 8 through 25 user interviews, and used the resulting job map as a live prioritization filter for all incoming channels (Upvoty, CSAT, consulting tickets).
• Responsible for the Scout24 Lighthouse initiative: Document Intelligence with full RAG architecture (semantic chunking, bge-m3 embeddings, pgvector, BM25+Dense hybrid retrieval).
• Reduced lead time of customer feature requests to 3.1 days through code analysis, ticket specification, and independent implementation using a coding agent (Codex).
• Developed an LLM-based support agent (GPT-4o mini, Codex-generated merge requests) that reduced 3rd-level escalations from 40% to 5% of all monthly tickets.
• Integrated six partners through technical coordination, specification, backlog and release management, and led seven full stack developers.
• Eliminated regulatory exposure for brokers in six weeks through risk analysis (BGH ruling on distance selling/GDPR), new audit features, and coordination with legal and data protection officers.

• Partner directly with C-level leadership (CEO, CAIO, CTO) on architecture, OKR strategy, and cross-team roadmap prioritization, translating strategic goals into structured engineering requirements.
• Surfaced and mapped technical debt across the entire organization with C-level leadership and co-defined a prioritized remediation strategy, balancing debt paydown against feature delivery.
• Led code reviews and technical standards across the team, fostering a mentor-first environment with two-way feedback dialogue — pairing on complex pipeline work and unblocking junior engineers on async architecture patterns.
• Re-architected the AI companion's core processing pipeline from synchronous to asynchronous with a queue-based worker architecture, enabling horizontal scalability and cutting upload processing time ~4x (from ~22s to 5–10s) while improving response accuracy.
• Designed an AI-driven document intelligence workflow with automatic multi-document classification, per-document summarization, and relevance guardrails for the patient care journey.
• Built a unified patient memory system (short- and long-term context) bridging the document vault and chatbot into a single bidirectional, context-aware platform.

• Enterprise-grade multi-agent AI orchestration platform built with Go and Kubernetes for scalable, secure agent coordination in cloud-native environments.
• Multi-agent orchestration with intelligent workload distribution and dynamic scaling.
• Cloud-native architecture with Kubernetes deployment and horizontal auto-scaling.
• Real-time coordination with sub-100ms agent communication using Go channels.
• Enterprise security with zero-trust architecture, RBAC, and comprehensive audit trails.
• Visual workflow engine with monitoring, observability, and API gateway integration.
• Technologies: Go, Kubernetes, ArangoDB, gRPC, Prometheus, Grafana.

• Moss is a spend-management platform for SMEs that bundles corporate cards, web-based applications and reimbursements, AP/procurement and advanced accounting in one place.
• Splits time across Accounting, Spending and Growth tribes, handling requirements gathering, public product design, coding, testing, debugging and internal apps.
• Participates in development and maintenance of the design system/UI kit and supports tooling, documentation and developer experience.
• Builds form-heavy UIs, drawer-based editing, high-density/resilient tables with server-side filters, pagination, column configurations, CSV/Excel export and bulk operations, all wired for permissions and auditability.
• Works with complex cross-entity relationships without a single-schema solution.
• Uses React, Redux Toolkit, styled-components, react-hook-form, React PDF, Vite, Lokalise, React Testing Library and Playwright.

• Bedrock technology operations role providing the foundations on which PUMA's global product teams build PUMA.com and associated systems
• Managed a €3.5 million CAPEX portfolio including ~20 externals and 16 platform and tooling vendors
• Started up and led five functional teams for platform engineering, cloud administration, edge technology, continuous performance testing, and L2 support / incident management
• Person of last resort for mysteries, intractable bugs, compliance crises, litigation support, and black-hole issues where ownership was unclear or contested
• Sole author and driver of a multi-million-euro, multi-year RFP for Global Operations Center serving the direct-to-consumer technology estate for eCommerce, order management, and brick-and-mortar retail tech support
• Conceived, designed, developed and productionized Order Viewer, a secure internal application providing observability into PUMA.com order data at sub-second latency; independently delivered architecture, implementation, GCP deployment, SSO integration and organizational compliance.

• Coached teams in Agile methodologies and Scrum framework implementation.
• Aligned the product roadmap with business goals such as increasing bookings, improving user experience, and expanding supplier integrations.
• Collaborated with developers and third-party providers to ensure smooth API integration and end-to-end functionality.
• Created and continuously refined the product backlog with user stories, bugs, and technical improvements.
• Prioritized backlog items based on business value, revenue impact, and regulatory deadlines.
• Worked closely with backend and frontend teams to clarify dependencies and prioritize technical debt.

• Migrated the Billomat API integration to InvoiceNinja API, boosting system reliability by 33% for 1300 users.
• Established an ESLint configuration with Husky and lint-staged, resulting in a 23% decrease in code review issues and refined code consistency across 5 repositories.
• Improved team processes by refining the Kanban workflow.
• Optimized frontend performance, built a new CI/CD pipeline, and implemented AWS resource monitoring to strengthen deployment reliability and system observability.

• Led the end-to-end architecture and migration of a legacy on- premise IoT monitoring system to a cloud-native Azure platform within a 17-member development team
• Designed and implemented a scalable microservices architecture (Java 21, Spring Boot, Kubernetes, Azure Services), decoupling IoT data streams and eliminating legacy system bottlenecks
• Defined technology stack, mentored developers, and orchestrated cross-functional teams in 4 countries to ensure high-quality delivery and alignment with architectural standards
• Drove requirements engineering and system redesign, removing years of technical debt and introducing event-driven processing and automated workflows
• Key Achievements
• Increased system stability and uptime by ~10x, eliminating need for 24/7 DevOps intervention
• Reduced hosting costs by ~80% (5x savings) through cloud optimization
• Improved performance and scalability, enabling stable handling of high-volume IoT data streams
• Delivered successful zero-disruption migration from on-prem to cloud, with strong user satisfaction and reliability from day one