arc42 Experts in Germany

• A recurring problem in my own AI-supported projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but they remain hard to trace and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions as a continuously linked knowledge graph, traceable from the requirement to the architecture decision – queryable for both people and AI agents alike. Technically based on RDF/OWL and its own MCP server.

• Result: MCP daemon running, Docker image automatically published on GHCR, nine hexagonal modules, eleven ADRs (including an open-core licensing model). Requirements engineering and ubiquitous language hexagon active. Publicly available since 07/2026 as a Community Edition under Apache-2.0 (github.com/kogn-io/arknet), together with the Claude Code plugin and the GHCR image; open-core model.

• Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ

• Development of safety-related embedded software for a mobile machine on a Hydac TTC 2390 controller.
• Implementation in C with consideration of SIL 3 / ASIL D and MISRA-C:2025.
• Implementation of communication via CAN, CANopen, and J1939.

Standards, guidelines and norms: ISO 26262, IEC 61508, MISRA-C:2025

Technologies: C99, Hydac TTC 2390, Infineon TriCore Aurix TC397, Hightec C/C++ Compiler, PC-lint Plus, CAN, CANopen, J1939, MISRA-C:2025

With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.

• Capture current architectures of existing systems as well as methodical consulting and development of target architectures
• Deepen and maintain the building plan / target IT landscape
• Implement technical architecture concepts & architecture descriptions
• Implement migration concepts for updating and further developing the platform and information systems
• Assess submitted improvement suggestions as part of the project
• Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
• Create a compatibility matrix of the components in use and compare dependencies of specific versions
• Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
• Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
• Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
• Advise the Release Train Engineer / Project Manager in identifying project risks
• Advise the System Architect Engineers in steering the implementation of the concept
• Implement the IT concept
• Document the infrastructure

Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot

• Overall responsibility for the project lifecycle from scope definition to completion
• Close collaboration with platform teams, IT leaders, and external service providers
• Application of SAFe principles and structured sprint work
• Creation of a migration roadmap with clear milestones
• Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
• Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
• Regular status reports and running knowledge transfer sessions

• Development and maintenance of IT architectures with embedded Linux systems.
• Designing, implementing, and optimizing backend applications and script-based solutions.
• Analyzing and resolving issues, including troubleshooting and user support.
• Developing and implementing security concepts for cloud solutions.
• Administering networks (DHCP, DNS, NTP, VPN).
• Technologies: Linux, PowerShell, Bash, Python, Ansible, Kubernetes, GitLab CI.
• Methods: Kanban.

Conceptual design and implementation of a modular customer portal based on Laravel.

The focus was on defining a maintainable system architecture with broad use of Domain-Driven Design principles (within the Laravel architecture), introducing automated quality assurance processes (test strategy, CI integration), and preparing an auditable operation (logging, traceability of changes) in an AWS-based infrastructure, taking IT security standards according to NIST and process requirements according to ISO 9001 into account.

Achievements:

• Analysis and structuring of business requirements in close coordination with stakeholders
• Documentation of the system architecture and infrastructure incl. change and release management
• Design and implementation of an interface for integrating SAP systems
• Planning and implementation of automated tests for quality assurance
• Implementation of security and compliance requirements, including SBOM generation, software license management, and QA processes
• Technical consulting and support for the internal IT team
• Introduction and establishment of AI-supported development processes (Spec-Driven Development), including AI-readable specifications, integration of AI instructions into the development environment, and training developers for productive use

Technologies and tools: SAP, Docker, ddev, PHP 8.4, Laravel, Filament, C4 Model, Architecture Decision Records (ADR), Mermaid, PlantUML, Spec-Driven Development, Claude, GitHub Copilot, Codex

• Consulting and creation of various web applications based on SharePoint and the React framework for different clients
• Development and testing of accessible apps for SharePoint
• Creation of various test cases for test automation
• Development of various solutions based on Azure
• Creation of various web services based on .NET
• Development of various SharePoint Framework solutions
• Development of various UI solutions based on SharePoint
• Consulting and creation of various Power Apps applications and Power Automate for the steel industry and an IT consulting company
• Support, consulting, and development with offshore teams for SharePoint 2013, 2016, and microservices for a logistics company
• Consulting, concept design, and development of microservices and web applications based on Microsoft technology and the React framework for a logistics company
• Consulting, concept design, and development of various SharePoint Framework solutions on SharePoint 2016 for logistics
• Consulting for the migration from SharePoint 2010 to 2016 for an IT consulting company

• Industry: Digital music solutions
• Technologies used: Flutter, Dart, iOS, Android, GitLab, PlantUML

Enterprise & Cloud Security Architect supporting the modernization of the SDK application landscape as part of the KVNeo transformation program. Responsible for enterprise architecture, cloud governance, security architecture, and the definition of technical standards for strategic business applications.

Key responsibilities include architecture governance, target architecture development, cloud and integration architecture, security-by-design, and the translation of regulatory requirements into sustainable technical solutions across multiple business domains.

Responsibilities and achievements

• Designed and reviewed target architectures for strategic insurance applications and enterprise services.
• Developed architecture documentation based on Arc42 and Architecture Decision Records (ADRs).
• Defined governance models, architecture principles, and technical guidelines for cross-domain initiatives.
• Supported the modernization of archive, document management, and output management platforms.
• Designed integration architectures using REST APIs and event-driven communication patterns.
• Led architecture discussions with enterprise architects, development teams, product owners, and business stakeholders.
• Translated regulatory requirements such as DORA and ISO/IEC 27001 into practical architecture decisions.
• Designed security concepts covering Identity & Access Management, authorization, authentication, auditability, and logging.
• Supported SIEM integration, security monitoring, and enterprise logging concepts.
• Evaluated technical risks, technical debt, and architecture improvements while providing decision papers for architecture boards.
• Established architecture governance processes and contributed to enterprise-wide transformation initiatives.
• Supported cloud governance activities and the definition of secure cloud architecture standards.
• Facilitated architecture workshops and coordinated cross-functional stakeholders across business and IT.

Technologies & Methods Microsoft Azure • Arc42 • Architecture Decision Records (ADR) • REST APIs • Event-Driven Architecture • Microsoft Entra ID • Active Directory • IAM • SIEM • Cloud Governance • Enterprise Architecture • Security Architecture • Azure API Management • Jira • Confluence • Draw.io • DORA • ISO/IEC 27001 • Agile • Scrum

• Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
• Implemented automated AWS integration test suites
• Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
• This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
• Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
• Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
• Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles

• Development of a mobile app to slow down the progression of dementia

• Coordination of software development (TPO – Technical Product Owner)

• agile requirements management (agile requirements engineering)

• prioritization of tasks in consultation with stakeholders

• stakeholder management

• documentation and management of the software architecture

• conducting PoC for technology decisions

• Documentation as Code

• docToolchain, arc42, req42, aim42, tpo42, C4 model, Archimate

• ADR, Architecture Decision Records

• Docker

• Pre-Commit, Conventional Commits, Semantic Versioning

• Liberating Structures, Agile Principles, Holacracy, Sociocracy 3.0

• Mobile frameworks

• AI developing interfaces, LLM

• Cordova, Unity

• Google Gemini, OpenAI, Character.AI

• Prompt development

• Technologies: TypeScript, JavaScript, Java, HTML, SCSS, JSON, REST, Angular, Nx, NgRx, RxJs, Git, Spring, TFS, Jenkins, Jest, Cypress, UI/UX-Design, Figma, Storybook, Domain-Driven Design (DDD), Micro Frontend, Clean Code, Arc42, Agile, Scrum, Jira, Confluence
• Technical conception and further development of a modern Angular web application as part of the portal migration
• Built a modular frontend architecture with Nx and clear separation of domain and technical layers (Clean Architecture)
• Introduced and implemented Domain-Driven Design in the frontend context, including layer model and linting rules for code organization
• Developed reusable UI components and features using Angular, NgRx and RxJS
• Integrated the application with backend services via REST APIs
• Ensured high code quality through structured code reviews, testing with Jest and Cypress and introduction of guidelines
• Performed regular upgrades to new Angular versions to ensure long-term maintainability
• Collaborated closely with internal developers, product owners and stakeholders for requirements analysis and solution finding
• Supported the team through active knowledge transfer, review coaching and technical decision making
• Established a modular architecture with Nx & DDD as the technical foundation for future development
• Significantly improved test coverage through systematic introduction of Cypress and Jest tests
• Facilitated intensive collaboration with internal developers to build DDD structures and testing strategies
• Delivered a modernized UI focusing on clarity, usability and modern web technologies, achieving high acceptance by over 4,000 field staff
• Enabled parallel operation of the new Angular portal with the existing .NET system for phased migration of the sales process

• Responsible for the 5-head development team and Scrum + DevOps approach
• Designed and implemented the cloud architecture for the application landscape
• Lead development for the user management on Azure Cloud using .NET 8/C#
• Development for the user management frontend using React (TypeScript)
• Technologies: Azure AD, Functions, Storage, CosmosDB, Service Bus, AKS, Monitor, Pipelines, Key Vault, MSSQL, Bicep, App Service, Log Analytics, Application Insights, Cost Management
• Backend: .NET/C#; Frontend: Angular (TypeScript)
• Unit testing: NUnit, xUnit, Moq
• CI & CD: Azure DevOps, GitHub Actions, GitLab CI
• DevOps & IaC: Bicep, Terraform, Docker, Kubernetes
• Security & Compliance: ISO 27001, DevSecOps
• Software development approach: Scrum, SAFe, Kanban

• Clarification of project goals, scope, and functional target vision for building the AI-based knowledge base.
• Deriving the initial architecture and implementation strategy for the Zasterbot chatbot, including defining the MVP and expansion phases.
• Developing a functional target vision for building a structured knowledge base and integrating a future chatbot.
• Deriving and prioritizing use cases for information retrieval and provision by the chatbot.
• Modeling data structures and flows for effectively organizing the knowledge base on the Base44 platform.
• Designing and implementing data models for storing and linking relevant information.
• Developing processes for extracting, analyzing, and preparing raw data for the knowledge base.
• Ensuring data consistency and quality as the foundation for the future chatbot.
• Planning the integration of large language models (LLMs) and retrieval-augmented generation (RAG) for precise and context-aware responses.
• Implementing features for analyzing and visualizing data from the knowledge base.
• Using the Base44 platform with JSON-schema-based entities and a flexible permission model.
• Implementing Deno functions for backend logic, event processing, and external API integration.
• Integrating OpenAI services for initial data analysis.