Microsoft Azure Experts

• Creating concepts and architecture for domain integration (SEAT into the VW structure)
• Domain trusts and administration
• Operation and administration of Windows 2022/ 2025 servers and domains
• Domain restructuring
• GPO and SG editing and migration
• DNS restructuring and migration

Technologies: Windows 2022, Active Directory, ADFS, AD Azure Connect, DHCP, DNS, GPO, VMWare vSphere, Hyper-V, Powershell, Jira, MS Office 365,), SCCM, VSAN Fileservices, Approximately 800 servers, 400 users

• Investigate the relationship between Eddy Current Testing (ECT) signals and microstructural properties
• Detect latent patterns in ECT data that reflect intrinsic material characteristics
• Develop and validate predictive models for microstructural classification and quantification, using hardness and case depth as benchmarks
• Apply Bayesian Structural Equation Modeling for advanced data analysis

Serving as AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Currently developing MCP-based tooling for AI text and voice agents: agent authoring, integrations and adoption of existing agents, shared authentication and API contracts, and durable workflow state. This includes text and voice tests that evaluate agent behavior, latency and task completion.

In parallel, helping Dialpad's engineers adopt QualityLayer and use Claude Code and Codex effectively. This ongoing work covers context management for large codebases, reusable plan-implement-test-review workflows connected to CI/CD, playbooks, hands-on workshops, labs and pair programming.

Technologies: AI Agent Products (Text & Voice Agents, MCP, LLMs, Python, TypeScript), Agent Tooling (Authoring, Integrations, OAuth, Durable State), Quality & Evaluation (Text & Voice Tests, Evals, Regression, Traces), Agentic Engineering (Claude Code, Codex, QualityLayer, Hooks, Prompts), Context Engineering (RAG, Vector Stores, Codebase Embeddings), Software Delivery (CI/CD Integration, Agentic Loops, PR Automation), Enablement & Coaching (Workshops, Hands-On Labs, Pair Programming)

Working Environment

• Insurance / Claims Management (Property, Liability, Automotive)
• REST-based ClaimAPI with Guidewire ClaimCenter

Scope

• Further development of the internal REST-based ClaimAPI with Guidewire ClaimCenter as the backend and various portals/front-end offices as clients, and with the following objectives: + increased AI-supported claims processing outside of Guidewire ClaimCenter + and support for all lines (property, liability, automotive).
• Further development of automated claims processing

Activities

• Interfacing IT & Business
• Design activities with documentation in Confluence, Jira: + Requirements engineering (functional and non-functional) + Design of REST endpoints and coordination with interface partners (esp. AI-colleagues) + Identification, design and evaluation of alternative solutions (moving away from a monolithic approach toward fine-grained endpoints, with code reuse across all lines if possible) + Creation / refinement of product backlog items in Jira, i.e. epics, user stories and tasks, incl. alignment with developers & POs during (pre-)refinement sessions + Using AXA Secure GPT when creating / refining user stories (description, acceptance criteria) and designing REST endpoints + Estimation and prioritization of user stories and tasks during Sprint Planning sessions + Coordination and support during the implementation of Product Backlog items + Driving decision making with preparation and presentation of decision-making documents
• Quality assurance: + Test management, including test case creation using Xray in Jira + Test execution using Bruno as REST client and in Guidewire ClaimCenter + Submission of test artifacts for PO approval + Analysis of production bugs

Methods Big Room Planning (aka PI-Planning in SAFe), Scrum, BPMN, EPK, UML, ERM, DDD

Tools / Tech Stack Teams, Confluence, Jira with Xray, OpenAPI/Swagger, REST, JSON, XML, MS Office, Bruno, GitHub repository (reading), Guidewire ClaimCenter, AXA Secure GPT (AXA's in-house GenAI solution based on Azure OpenAI)

Management of data protection & IT security-related projects. Adjustments to knowledge management and consulting processes.

Activities:

• Data protection consulting
• Process optimization in in-house consulting
• Interface to specialist departments, IT security, development and management

Agile Transformation: introducing agile principles and transforming traditional IT departments into Scrum and Kanban teams

IT Operating Model: redesigning the IT organization and introducing modern delivery structures and roles

Flight Levels: building up Flight Levels practices within IT to align strategy, coordination and operational execution

Leadership & Coaching: recruiting Agile Coaches and coaching Scrum Masters and IT leaders

ERP Operations: acting as Interim Product Owner for the existing ERP landscape and ensuring business continuity

ERP Transformation: reorganizing and supporting the ERP migration as a Project Manager; Phase 1 (financial accounting) live since October 2025

Operational Core (ERP): establishing dedicated teams for ERP Support, Feature Development, and ERP Migration

Modern Workplace: initiating the transition towards a Microsoft 365-based cloud workplace environment

Integration: establishing a dedicated team to drive integration and connectivity initiatives

Warehouse Operations: building a cross-functional team to support logistics and warehouse-related capabilities

Maintenance & Operations (M&O): introducing a dedicated team for system engineering, security, stable operations and continuous improvement

AI Initiatives: identifying and promoting practical Artificial Intelligence use cases across the IT department

As Interim Head of IT for a German medium-sized industrial distributor, I am responsible for 31 IT employees and lead the digital and organizational transformation, reporting directly to executive leadership. I took over an IT department with almost no basic structures – no clear roles, processes, documentation or ticket system – and with significant technical debt that tied up most of its capacity. Introduced agile principles and ways of working in the IT organization and transformed the traditionally structured IT department into cross-functional Scrum and Kanban teams focused on transparency, collaboration, and customer value delivery.

Redesigned the entire IT organization by establishing a modern operating model, introducing new roles such as Product Owner, Scrum Master and Solution Architect and strengthening the organization through strategic hiring and targeted capability development. Recruited and onboarded Agile Coaches to accelerate the transformation and personally managed and coached Scrum Masters as well as IT department leaders to foster servant leadership, self-management and a culture of continuous improvement.

Aligned IT-internal planning across eight teams to three Flight Levels based on Klaus Leopold (strategy, coordination, team), laying the foundation for later company-wide portfolio management. Consolidated the backlog of more than 10 workstreams and prioritized it by business value and cost of delay. Introduced a ticketing system to increase transparency and enable data-driven decision-making, flow-based work management, and greater accountability at all levels.

Established and supported multiple cross-functional teams, including the Operational Core (ERP) domain with dedicated streams for Support, Feature Development and ERP Migration, as well as teams responsible for Warehouse Operations, Maintenance & Operations (M&O) including system engineering and security, Modern Workplace, Data Quality and integration initiatives. Worked closely with Agile Coaches to support team development, remove impediments, and continuously improve delivery effectiveness.

Acted as Interim Product Owner for the operation and enhancement of the existing ERP landscape while supporting the ERP migration as a Project Manager. Reorganized the project organization and had the already negotiated contract with the implementation partner realigned with a focus on approach and overall responsibility; Phase 1 (financial accounting) has been live since October 2025. Collaborated with the selected implementation partner to design and establish the project organization and target operating model for the ERP transformation, introducing agile delivery structures and ways of working. Facilitated the alignment between business, IT and the external vendor and played a key role in negotiating the contractual framework and delivery model to ensure a sustainable foundation for the transformation program.

Initiated the strategic modernization of the workplace environment through the adoption of Microsoft 365 cloud capabilities, establishing the foundation for enhanced collaboration, scalability and future digital services.

Launched AI initiatives to identify practical business use cases and promote the responsible adoption of Artificial Intelligence across the IT department. Encouraged self-management and empowered teams to take ownership of decisions, delivery and continuous improvement.

• Design, development, and productive rollout of an Enterprise HR Copilot based on Microsoft Copilot Studio to automate internal HR processes
• Development of an AI-supported assistant for answering employee inquiries based on a SharePoint knowledge base and internal company HR documentation
• Integration of the Copilot into Microsoft Teams, including welcome logic, user guidance, and role-based routing
• Automation of HR processes and approval workflows with Microsoft Power Automate to reduce manual processing steps
• Development of realistic HR documents and response templates with Azure OpenAI, taking business requirements and consistent company policies into account
• Implementation of prompt strategies, knowledge management, and response optimization to improve response quality and user acceptance
• Close collaboration with business departments to analyze requirements and integrate the AI solution into existing company processes

Technologies:

Microsoft Copilot Studio, Microsoft Teams, Azure OpenAI, SharePoint, Power Automate, Power Platform, Microsoft 365, Prompt Engineering, Workflow Automation

Remote freelance role focused on Agentic AI strategy, secure application patterns, and reusable agentic workflows for a government agency.

• Development and implementation of an open-source Agentic AI strategy for a government agency, with a focus on GDPR, security, and self-hosted solutions
• Development of reusable agentic workflows and business applications that enable non-technical employees to solve business problems independently
• Implementation of nine business applications with Single Sign-On (SSO) and Azure PostgreSQL integration on Hetzner Linux servers

Techstack: Python, Streamlit, Anthropic SDK (Claude), Azure, Linux, PostgreSQL, MS SQL, Angular

• Strategic planning, detailed technical preparation and operational management of an email gateway migration in a security-critical government environment.
• Preparation of the technical specification and development of technical concepts and migration approaches in line with BSI requirements.
• Technical requirements management with business units, information security and operations.
• Coordination of external service providers, integrators and implementation partners; maintenance of project plans, milestones, resources, risks and dependencies.
• Regular reporting to project management, the program environment and internal stakeholders.

• Development of scalable backend applications with C#/.NET and Java
• Design and implementation of distributed microservice architectures
• Development and integration of REST APIs for industrial applications
• Development of modern web applications with React, Angular, and TypeScript
• Implementation of MQTT-based communication solutions
• Integration of industrial protocols such as OPC UA and Modbus TCP
• Development of batch, process control, and HMI components
• Containerization and deployment of applications with Docker
• Conducting code reviews and supporting architecture decisions
• Close collaboration with Product Owners, QA, and interdisciplinary teams
• Analysis of business requirements and implementation of technical solutions
• Further development of existing software architectures with a focus on maintainability and performance

Technologies: C#, .NET, ASP.NET Core, Java, C++, React, Angular, TypeScript, Vue.JS, MQTT, OPC UA, Modbus TCP, Docker, GitLab, MariaDB, MySQL, Linux

Analysis and structuring of business and technical requirements for the further development of the LS One checkout system. Designing solution proposals and translating them into precise implementation tasks for international development teams. Prioritizing and coordinating requirements from a functional perspective, taking business and legal requirements into account. Quality assurance through reviewing, testing and evaluating the implementation based on defined acceptance criteria. Functional support for international deployments and rollouts, as well as analysis of feedback from locations for release planning.

Additionally: Supporting the integration of Anybill to provide digital receipts, as well as coordinating business and technical requirements within the existing POS environment.

Two parallel workstreams: (1) Tech Due Diligence for acquisitions and portfolio companies. (2) AI strategy certification and AI governance consulting.

• Tech assessments for PE/VC acquisitions: code reviews, architecture analysis, scalability assessment
• Tech assessment frameworks and integration roadmaps for portfolio companies
• TÜV SÜD certification program: AI governance, EU Artificial Intelligence Act (EU AI Act)
• Strategic AI roadmap development for mid-sized companies

Results:

• Delivered several tech DD reports for investment decisions
• Developed integration roadmaps for portfolio companies
• TÜV SÜD “AI Strategy & Application Expert” (expected 31.12.2026)

• Claude Code subagents, MCP, Pydantic V2, pytest, bandit

• Designed and shipped 3 specialized agents that hand work down a line: a research agent writes a cited implementation spec, a coding agent builds the modular code and its tests, a review agent ranks findings by severity and applies the fixes. Each handoff is a structured document, so no stage depends on another agent's context window.

• Connected the research agent to an academic-research MCP server (Semantic Scholar, ArXiv, Hugging Face Hub, citation snowballing) so every reference traces to a tool result rather than the model. Gated commits behind ruff, mypy, pytest and bandit, required human sign-off before installs and commits, and persisted session state on disk so long runs survive a context reset.

Design, development, and market launch of digital products and platforms – from strategic alignment and agile implementation to Go-to-Market and Go-Live, integrating AI into processes and products