Career Profile
Quality Engineer and AI Automation Expert with 20+ years in software quality assurance and 4 years of specialized AI development. My focus: transforming business processes through measurable automation.
40+
Skills
one orchestration hub
20+
Repos orchestrated
across 7 project boards
Live
AI agent
this CV answers for itself
In enterprise projects (DB Vertrieb, DVAG, TÜV Süd) I worked on quality monitoring, AI-driven test automation, and legacy migrations secured by 24/7 validation.
Today I combine quality engineering with AI architecture: MCP and A2A protocols, multi-agent systems and e-invoicing platforms to EU standards — bundled into an automation ecosystem that an orchestration hub runs across 20+ repositories, agents and protocols. One of those agents answers this very CV, live.
I also pass this knowledge on — in developer and business workshops and as an invited guest speaker at TU Darmstadt — translating hands-on AI for technical and non-technical audiences alike.
PROJECTS & SOLUTIONS
Innovative AI solutions and automation tools
AI & DevOps
AI Context Orchestrator — Multi-Repo Development Platform
Core Features:
• Context Orchestrator: ecosystem.yaml as single source of truth for 20+ repos, customers, infrastructure and skills
• 40+ Skills: Log analysis, deployment verification, incident handling, email management, meeting transcription, PDF/certificate generation, SharePoint integration
• Hook-based Permission System: Smart Guard with project-specific security rules (branch protection, secret detection, deployment gates)
• Structured Work Tracking: Automatic documentation with daily/weekly archiving and cross-project Kanban board
• Cross-Repo Automation: Seamless navigation and operations across customer, partner and internal repositories
• Open-source layer: three-tier architecture — a generic OSS skeleton (MIT, in preparation) is fed from this seed instance, with a BKS overlay in between.
Impact: Productivity boost through AI-driven workflows — from incident response to meeting documentation largely automated
Enterprise Integration
E-Invoicing Automation Platform
Core Features:
• Peppol Network Integration: Connection to European e-invoicing network via Storecove Access Point
• Multi-Format Support: ZUGFeRD, Factur-X, XRechnung, UBL 2.1, CII (EN 16931 compliant)
• ERP Integration: Automatic transfer to SAP ByDesign with validation and error handling
• Hexagonal Architecture: Domain-driven design with Ports & Adapters for maximum testability
• Dual-Channel Inbound: Storecove Webhook (Push) + Email Inbox (Pull) for redundant processing
Impact: Production system — Peppol connectivity per EN 16931, automated inbound and outbound invoice processing across the Storecove route into SAP ByDesign.
Training & Workshops
Developer Workshop: AI-Agent Development & Integration
Workshop Content:
• Hands-on AI Agent Development: Live coding with Claude, Gemini, GPT-4o
• Next-Gen Protocols: MCP & A2A implementation for enterprise integration
• Browser Automation: Playwright-MCP for automated test generation
• IDE Integration: AI assistance workflows — Claude Code as primary stack, GitHub Copilot & VS Code as tool comparison
• Multi-Agent Orchestration: JSON-RPC, secure agent communication
• Practical Demos: Jira integration, Elasticsearch queries, GitHub workflows
Deliverables: Complete source code, slides, hands-on exercises, production-ready templates
Consulting & Strategy
Enterprise AI Consulting: From Strategy to Implementation
Consulting Services:
• Strategy Development: From AI vision to measurable implementation roadmap
• Process Analysis: Identification of automation potential, quality-first assessment
• ROI Assessment: Business cases, cost savings, amortization calculations
• Executive Workshops: Hands-on strategy sessions with live-demo business cases
• Change Management: Team adoption, training concepts, resistance management
• Implementation Support: From concept to productive AI solution
Deliverables: AI strategy template, ROI calculator, implementation roadmap, executive workshop, implementation support
Quality Engineering
Quality Dashboard - Real-time Overview
Quality Engineering
24/7 Automated Legacy Migration Validator: Dual-Run Quality Engineering
The Challenge: Complex mainframe price calculation with millions of combination possibilities needed secure migration - without quality loss or data errors.
The Solution: 24/7 Dual-Run Validation System with intelligent deviation analysis
• Continuous Testing: Randomly generated tests across all variations around the clock
• Real-time Monitoring: Live dashboard with deviation detection on every deployment
• Complete Traceability: Every deviation uniquely logged with technical and business context
• Automated Root Cause Analysis: Direct access to calculation paths and error sources
• Quality Intelligence: Kibana dashboards for end-to-end quality overview
Result: Secure migration without data loss, 24/7 validation across all combinations and full transparency over migration status
AI & Machine Learning
MCP – Model Context Protocol & A2A
Python · TypeScript · LLMs · API Integration
AI & Quality Engineering
AI-driven Test Automation
Python · OpenAI GPT-4 · Playwright · IDE Integration
AI & Machine Learning
Automated NLP Analysis of PDF Documents
Python · spaCy · NLTK · OpenAI GPT-4
Professional Experience
LLM Infrastructure Architect & Automation Engineer
BKS - AI Research & Development
Development of LLM-orchestrated Enterprise Development Ecosystem: Fully integrated system for knowledge management, project automation, and development workflows with Claude, Gemini, and OpenAI GPT.
Tools & Technologies
• LLM Orchestration: Claude (primary), Google Gemini, OpenAI GPT, Model Context Protocol (MCP), Google Agent Development Kit (ADK)
• AI Development Platform: Claude Code, Plugin Architecture (Skills, Hooks, Commands, Agents), YAML/Markdown Configuration
• Multi-Agent: A2A Protocol, Orchestrator/Knowledge Agents, Agent Cards, JSON-RPC 2.0, SSE Streaming
• Backend: Python 3.13, FastAPI, uvx Distribution, Git Submodules
• Automation: GitHub Actions, GitHub GraphQL API, gh CLI
• Integration: SharePoint API, Clockify API, Elasticsearch, Natural Language Processing
• Development: Bash Scripting, jq, Docker, Multi-Agent Systems; orchestrated repos span Python, TypeScript, Rust and Go
Quality Engineering
TÜV Süd
Quality Engineering for an enterprise platform for AI-powered document processing in medical device certification (MDR/IVDR) with AI chat integration and data pipeline automation.
Tools & Technologies
• Testing: Behave, Playwright, TypeScript, Python, pytest, Page Object Model, Fixtures
• Monitoring: Azure Monitor Workbooks, KQL, Application Insights, Log Analytics
• Backend: FastAPI, Python, Pydantic, SQLModel, Azure Functions, Azure Service Bus
• Frontend: React, TypeScript, Vite, TanStack Router
• AI Integration: Azure OpenAI (GPT-4o), LangChain, Azure AI Search, Embeddings
• DevOps: Azure DevOps Pipelines, Git, Docker, Azure Blob Storage, Poetry
AI-driven Automated QA Environment for Energy Infrastructure
AkkuSwap Startup
QA Leadership for EU-wide Battery Swap Infrastructure: AI-driven simulation tool for battery swap station network with energy infrastructure integration
Technical Stack
• Infrastructure: Linux, Docker, Azure OpenAI
• Automation: pytest, AI code generation integration patterns
• Monitoring: Grafana, Azure Monitoring
• Energy Systems: Battery swap infrastructure, grid integration simulation
Key Achievements
• Established QA methodology for AI-driven infrastructure simulation
• Created testing framework for energy sector critical systems
• Validated proof-of-concept with measurable reliability improvements
Platform Quality Architect (CI/CD, Monitoring, Automation)
DVAG
Test management & coordination, as well as introduction of CI/CD with quality-gate setup. Acting as cross-team Quality Lead: onboarding, guidance, consulting and training for the introduction of quality metrics and test automation within the pipeline across teams.
Tools
• IntelliJ / Visual Studio Code
• Java / JavaScript / TypeScript
• Playwright / Gauge / Karate
• Python for processing and analysis of test and reporting data
• CI/CD / GitHub – reusable workflows
• Helm / Containers
• JIRA / Confluence
• Grafana
• Behaviour-Driven Development
• Consumer-Driven Contracts (Pact.io)
Technical Lead & AI Automation Architect
BKS
Technical lead & development: Design and implementation of a scalable automation solution for processing e‑invoices and PDF invoices fetched from a mailbox of a leading online job platform (under NDA). Full responsibility from requirements analysis through implementation to production go‑live.
Tools & technologies
• Azure Functions: Serverless orchestration of automation workflows.
• Python: Core logic for data extraction, classification and integration with automated CI/CD processes, packaging, and comprehensive unit and integration tests for quality assurance.
• E-Invoicing: Peppol Network, Storecove API, ZUGFeRD/Factur-X, XRechnung, UBL 2.1, CII
• ERP Integration: SAP ByDesign, Salesforce
• Microsoft Graph API: Access to Outlook mailboxes and SharePoint libraries.
• GitHub: Version control, CI/CD pipelines and collaborative development.
• Kibana: Monitoring, log analysis and performance dashboards.
• Streamlit: For developing an interactive web application for visualization.
• AI Automation: Claude AI, Custom Skills Development, Git Analysis, Natural Language Processing
• Protocols: Model Context Protocol (MCP), Agent-to-Agent (A2A), JSON-RPC 2.0
AI Engineering Lead & ML Solutions Architect
BKS on behalf of Ryze
Project management & technical lead: Development and deployment of an AI-driven email bot to automate customer communication, AI-assisted processing of incoming emails and triggering of follow-up activities in existing SAP systems. Responsible for end-to-end project coordination and team management from idea to implementation."
Tools & technologies
• Azure Functions: For serverless application architectures and ML model execution.
• Python: Main programming language for the email bot and ML models.
• Microsoft Graph API: For accessing and processing emails in Microsoft Outlook 365.
• SAP API: For querying customer data and communicating with SAP systems.
• GitHub: For version control, CI/CD pipelines and collaborative development.
• Kibana: For real-time monitoring and system performance analysis.
• Streamlit: For developing an interactive web application for system monitoring.
DevOps Quality Lead & Dashboard Architect
DB Vertrieb
Test management, test coordination, test automation – agile (Kanban, Scrum, SAFe): Coordination as PO of a cross-team QA team including cross-team onboarding, support, consulting, training
Tools
• IntelliJ
• Java
• Cucumber / Cypress
• JMeter / Gatling
• CI/CD / GitLab CI / Jenkins
• Helm / Docker
• JIRA / Confluence
• Kibana / Grafana / Instana / Graylog
• Behaviour Driven Development
• Consumer Driven Contracts (Spring Cloud Contract)
• Ionic (hybrid app)
• Selenium
Performance Engineering Lead & Test Architect
DB Systel
Load and performance tests and analysis – test manager, test designer, analyst: Development, execution and analysis of load and performance tests
Tools
• Visual Studio
• Eclipse
• JMeter
• Git
• JIRA / Confluence
• Excel & Access VBS
• Interfaces: HTTP, WS, REST, MQ, JMS
Senior iOS Developer & Mobile Architect
Telekom
Senior iOS Developer: Further development of the rebuilt version of Deutsche Telekom's Customer Center App, extension with new functionalities for IFA.
Tools
• Xcode
• Git
• JIRA
Quality Assurance Lead & Test Automation Architect
Siemens
QA, test management, test automation, requirements engineering: A total of 5 projects were supported as QA & test manager and successfully implemented
Projects
• SIPCA - Management system for employee annual targets and bonus calculation
• STM - Application and travel expense recording (Frontend: Web / Backend: SAP)
• GPM2 - Share bonus program for employees (Frontend: Web / Backend: JBoss)
• PATAC
• SOM - Management and overview of OrgUnits
Tools
• HP ALM
• HP UFT
• HP QC
• Quick Test Pro
Performance Test Engineer & Load Testing Specialist
ING-DIBA
Load and performance tester: The goal of the project is the design and development of LoadRunner scripts for load testing a bundle of approx. 20 J2EE applications in a banking portal
Tools
• LoadRunner
Performance Test Engineer & Quality Consultant
British Telecom, Mobiliar, DB-Systel, Sparkassen Informatik, Loyalty Partner, Telekom, Itelium, Deutsche Post, Postbank
Load and performance tester / tester: Various projects, predominantly load & performance tests
Tools
• LoadRunner
Speaking & Workshops
Guest Lecture: AI-Assisted Software Development in Practice
TU Darmstadt — Information Systems Group · Lab course “AI Startup: From Idea to Execution”
04/2026Workshop: Development with Generative Language Models
Developer Workshop - Agent-based Software Development
06/2025Presentation: Efficient Documentation through Automation
Enterprise Presentation - AI-powered Documentation Workflows
04/2025Applications of AI in Business Context
AI Workshop for Business Integration
2023