Microsoft Certified: Azure Fundamentals (AZ-900)

• Managed Microsoft Cloud Accelerator Factory (CAF) programs for global enterprise customers, ensuring Azure cloud implementations aligned with security, governance, and compliance best practices, including ISO 27001-aligned controls and cloud security frameworks.
• Managed complex global enterprise transformation programs with strong focus on project delivery, financial governance, budget control, planning, risk management, and executive reporting, ensuring delivery within scope, timeline, and budget.
• Led the implementation of e-invoicing solutions for Nestlé, coordinating finance, IT, business stakeholders, and external providers to ensure successful integration, testing, rollout, and delivery of electronic invoicing processes.
• Managed an Oracle-to-PostgreSQL database migration, coordinating technical teams, application owners, testing activities, dependencies, risks, and cutover planning to ensure a controlled and successful transition.
• Led cross-functional programs involving finance and payment-related processes, enterprise platforms, and system integrations, with strong stakeholder management across business, IT, vendors, and senior leadership.
• Delivered transformation programs in FMCG environments, including Nestlé, managing complex international stakeholder structures, third-party providers, governance, RAID management, and business-critical dependencies.

• Interim mandate to define the IT Service Strategy 2026, stabilize leadership and organizational structures, and prepare the platform and service organization for scaling. Focus on management clarity, stakeholder alignment and customer orientation in a volatile environment.

• Strongly technical predecessor role with limited leadership and management impact

• High turnover and increasing use of junior consultants

• Missing SLAs with key service providers (including BTC, Bechtle) as well as missing KPI and reporting structures

• Missing strategic framework and inconsistent communication with stakeholders

• Overall responsibility for the organizational unit, budget, providers and strategic prioritization

• Leadership of an organization staffed predominantly with external consultants (including PwC, Wavestone, Accenture)

• Responsibility for leadership stabilization and management effectiveness

• Close cooperation with executive management and the advisory board as well as with key stakeholders in a sensitive environment

• Development and communication of a clear IT Strategy 2026 as a framework for management and teams

• Restoration of leadership focus and decision-making clarity in a fragmented organization

• Noticeable improvement in how leadership and communication were perceived by stakeholders

• Introduction of a clear prioritization logic to reduce operational friction

• Initial stabilization of the organization within a deliberately short interim period

Tech & Methods: Azure Cloud, Service Governance, Stakeholder Management, Provider Steering, Leadership Frameworks

Editorial AI Agents – GenAI

Media industry

Design and development of an AI-powered multi-agent system for the automated creation and transformation of editorial content. From news articles and teletext to SEO-optimized content with stylistic adaptations tailored to the target format.

• Architecture design and implementation of an Agentic AI system
• Creation and transformation of editorial content for multiple news portals
• Topic Discoverer for classifying incoming news reports
• Rebuilding agent workflows in n8n to enable editorial teams to work with low-code solutions
• Development of monitoring and observability dashboards with Grafana
• Infrastructure as Code and deployment on GKE via GitLab CI/CD

Technologies: Python, Pydantic AI, GCP (GKE, BigQuery, Vertex AI, Cloud Run, PubSub), AWS (Bedrock, SQS), LangGraph, LangFuse, Pydantic AI, n8n, Grafana, Prometheus, GitLab CI/CD, Docker, Kubernetes, Terraform

• Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
• Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
• Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.

Product:

• Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
• Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
• Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
• Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
• Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.

Agent Orchestration & RAG Systems

• Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
• Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.

• Integration of highly regulated countries such as China and South Korea into a company-wide M365 tenant.

• Technical contact for integrating special requirements for the executive board and German subsidiaries that are subject to BaFin compliance requirements.

• Subproject management.

• Coordination of requirements within the overall architecture.

• Design of the use of DLP features from Microsoft Purview.

• Design of special access restrictions via Entra ID Conditional Access.

• Support in designing the provisioning of Teams teams and SharePoint sites with higher compliance requirements.

• Technical support for implementing information classification with sensitivity labels for SharePoint Online and Teams.

• Technical support for the subproject introducing CoPilot for M365.

• Skills: M365, Purview, DLP, Entra ID, Sensitivity Labels, CoPilot, Teams, SharePoint Online.

• Support migrants with visits to authorities or their search for housing
• Help children or adults with learning
• Create application documents or help find an apprenticeship

• Optimizing and accelera­tion of our Gitlab CI pipeline

• Conceptual work for the PoC of the Zero Trust system

• Extension of the policy-engine backend in Go

• Extension of the policy-testing mechanism in Python

• Architectural design of the PEP component of Zero Trust

• Documentation of the product

• Technologies: Zero Trust, Go, Python, Gitlab CI, Docker, JWT, Domain-Driven Design

Scope: Embedded as FP&A Data & AI Architect within the Finance function of a major European refrigeration manufacturer, leading the transformation of manual, fragmented financial reporting into an automated, governance-driven intelligence platform. Driving the shift from Excel-based controlling to structured data architecture, Power BI analytics, and AI-assisted financial operations.

Financial Data Integrity & ERP Governance

• Initiated and led GL vs. subledger reconciliation investigations, identifying and resolving structural mismatches between General Ledger and subledger data that had gone undetected prior to engagement
• Conducted asset analysis to identify items missing from General Ledger postings, surfacing gaps in fixed asset tracking and period-end completeness
• Validated SAP reports, establishing baseline data quality standards for Finance team consumption
• Established systematic SAP data validation framework ensuring ongoing integrity between ERP postings and downstream reporting outputs

Finance Reporting Transformation

• Designed and implemented a structured Transformation Project approach for converting manual Finance reports into fully automated processes
• Created and owns the Data Reporting Audit Log; a centralized tracking system capturing report owners, stakeholders, data sources, manual effort estimates, and automation opportunity scores across the Finance function
• Mapped the full reporting landscape identifying quick-win automation targets and strategic Power BI migration candidates
• Actively reducing manual Excel and PowerPoint dependency across FP&A workflows; replacing point-in-time snapshots with live, governed data models

Power BI & Analytics Enablement

• Introduced and presented Power BI as the strategic reporting platform to Finance leadership, building internal buy-in for the BI transformation roadmap
• Designed initial Power BI architecture aligned with SAP, Salesforce and Oracle data structures and FP&A reporting requirements
• Established report ownership, governance documentation, and data lineage standards enabling sustainable self-service analytics across the Finance team

Transformation Infrastructure & Collaboration

• Configured and deployed Jira as the transformation project management hub, establishing structured sprint workflows, backlog management, and progress visibility for Finance IT initiatives
• Proposed and initiated a dedicated FP&A Communication & Transformation Hub, a structured cross-functional forum aligning Finance, IT, and business stakeholders around the reporting transformation roadmap
• Positioned the Finance function as an active driver of data governance and digital transformation within the broader organization

Outcomes

• GL/subledger reconciliation gaps identified and investigation framework established within first two weeks of engagement
• Data Reporting Audit Log deployed; first structured inventory of Finance reporting landscape in company history
• Power BI transformation roadmap presented and approved by Finance leadership
• Jira-based project governance live; Finance transformation now tracked with full sprint visibility

Technologies: SAP FI/CO · Power BI · DAX · SQL · Excel (advanced) · Power Query (M) · Power Automate · VBA · Jira · Microsoft 365 · SharePoint · Salesforce (Sales Data) · Oracle HCM · Python

Built Python-based AI microservices and integrations for an AEC/VR Unity-based SaaS app, focusing on LLM/VLM capabilities, retrieval-backed systems, RESTful APIs, containerized deployment, and an automation microservice for the CAD-to-Unity pipeline.

• Developed a custom Hybrid A* based algorithm in C# to simulate hospital scenarios and detect early-stage design conflicts from collision/spatial data and generate structured reports.
• Solved and automated the time-consuming problem of converting CAD files to usable Unity environments with a custom-engineered and real-time pipeline using a ZeroMQ-based communication layer to distribute workloads across multiple processes and achieve real-time performance.
• Built a Dockerized FastAPI pipeline for CAD-to-Unity automation, combining vision-based object matching, image embeddings, and precomputed metadata to automatically map CAD objects to Unity behavior scripts, assign properties, and reduce repeated AI inference calls.
• Created documentation and examples to help technical users understand, configure, and extend the AI automation pipeline.

Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.

• Designed and implemented complex automation workflows using n8n
• Developed AI-powered analysis agents for market and audience research
• Integrated multiple APIs and AI services into automated workflows
• Built automated market, competitor, and target audience analysis pipelines
• Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
• Containerized and deployed the platform using Docker

Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks

I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.

Main Tasks:

• Sprint planning and feature preparation
• Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
• Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
• Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
• Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
• Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
• Manage production releases and execute live data migrations for enterprise customers
• Define engineering standards and architecture patterns for the team

Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL

Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI

• Continuous evaluation and prioritization of internal automation needs
• ~20 AI agents in active use: research, content pipelines, document processing
• 5 n8n workflows for automated data and process control
• Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
• Ongoing operation and further development

• As-is assessment of the current network infrastructure and its documentation, including on-site inspections
• Independent planning of new distribution and main distribution rooms in the individual district offices (components used, rack layout, connectivity), considering the BSI IT-Grundschutz and InfoSic requirements
• Planning of new copper and fiber optic cabling, including patch panels
• Coordination with building services engineering (TGA) to ensure compliance with relevant on-site requirements
• Development of detailed execution plans and high-level concepts for the rollout of the new infrastructure
• Additional support after the components go live (hypercare phase)
• Regular communication with project management and client stakeholders