Selenium Experts in Munich

• AI Integration (LLM & RAG): Designed and built an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data to automatically analyze technical documents and error logs.
• Design & Implementation: Designed a robust RS-232/UART communication interface for an SBC-based embedded device used to control medical shaker systems.
• Architecture & Protocol Design: Built a highly maintainable software structure (OOP, SOLID) and defined resilient, hardware-level communication protocols, including multithreading and advanced error handling.
• Quality Assurance & DevOps: Automated testing with xUnit, ran integration tests directly on the hardware target, and maintained technical documentation to strict medical technology standards via Azure DevOps.

Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps

• Iterative test planning

• Provision of the test infrastructure

• Resource planning

• Test concept development

• Coordination of the test teams

• Defect management

• Release management

• Project planning

• Cohort planning

• Test planning

• Test execution

• Trial test planning

• Rollout

• Business analysis

• Requirements engineering

• Change management

• E2E test coordination

• Responsible for introducing agile methods within the Interface & Integration Team (2 Scrum Teams)
• Planning and delivering trainings in agile methods
• Facilitating workshops and Scrum events
• Removing impediments
• Increasing sprint performance

Oracle Project Management and Automation

As part of the project, the operation of an Oracle infrastructure was automated by developing and enhancing Puppet modules and migrating existing Bash scripts to a standardized configuration management solution.

The aim of the project was to standardize and automate administrative processes, improve the maintainability of the Oracle platform, and increase the efficiency and traceability of infrastructure management through the use of Infrastructure as Code.

• Analysis and migration of existing Bash shell scripts to a Puppet-based automation solution
• Development and enhancement of Puppet modules for Oracle environments
• Automation of installation, configuration and operational processes using Infrastructure as Code
• Standardization and optimization of configuration management for Oracle systems
• Creation and maintenance of technical and operational documentation
• Planning, coordination and professional support during project implementation
• Operation and automation of Oracle systems on x86-based Linux server platforms
• Testing and quality assurance of the developed Puppet modules
• Analysis and resolution of technical errors as part of the automation and migration
• Close coordination with specialist departments and infrastructure teams to implement automation requirements

Technologies used: Puppet 7/8, SLES 15, Oracle 19, Oracle Grid, SVN, Windows Server, Confluence, VS Code, Ruby, Bash, Pass

• It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
• GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
• Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
• CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
• Development of feature store and data synchronization between environments
• Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
• Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
• Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
• Development of Copilot Agent Skills

BMW AG · Mercedes-Benz AG · Munich Re · CARIAD / VW Group

• Leading UX and product direction of PromptM, an enterprise AI prompt management platform at BMW, designing human-agent interaction models, role-based governance flows, and a Playground testing environment for prompt validation and iteration
• Redesigned insurance policy workflows at Munich Re, restructuring form layouts, improving field prioritisation based on user needs, and introducing new design components into the existing product system
• Led end-to-end UX at BMW shopfloor: user flows, wireframes, usability testing, and Figma design system adopted across 5+ agile squads, reducing order processing time by 35%
• UX Coach at Mercedes-Benz, upskilling 50+ team members in user research, usability testing, and agile UX methods; reduced design-to-dev handoff by 30%
• Facilitated 10+ design sprints and discovery workshops; enforced WCAG 2.1 AA accessibility across all deliverables

Working as a QA Engineer within a regulated digital health environment, supporting structured test planning, test analysis, verification evidence and release readiness across mobile and web applications.

Creating, maintaining and executing manual and automated (MAESTRO, Katalon, Cypress) functional, regression and SIT test cases for iOS, Android and web platforms. Performing daily activities using Jira, Xray, Confluence, BrowserStack and staged test environments.

Supporting traceability between requirements, risks, test cases, defects and test results, helping ensure QA evidence is clear, auditable and suitable for regulated software delivery.

Collaborating with development, product, medical, regulatory and business stakeholders to clarify requirements, investigate defects, assess severity and priority, and reduce release risk.

Applying ISTQB, Agile and SAFe testing principles across mobile apps (as mobile medical devices), web platforms, system integration and regulated documentation.

Using AI products and open-source AI tools to support QA activities, including test case design, user story analysis, test data creation, process optimisation and regression coverage estimation.

• Executed standard/complex test cases using ECU-test and Python, improving test throughput by 30%.
• Performed validation and execution of ECU test cases on HiL benches for ADAS to ensure functional quality before release.
• Worked closely with customers to align test activities with project requirements and provide regular validation updates.
• Coordinated with subcontractors to track defects, ensure timely issue resolution, and maintain test quality.
• Ensured testbench stability and maintenance before executing test plans, identifying and resolving issues proactively.
• Developed Python-based automation scripts for reporting and workflow automation.
• Managed test issues and documentation via Jira in coordination with QA and development teams.
• Used CANPE for measuring signals of CAN, FlexRay, Ethernet, and IP using Vector CAN tools.

• Led performance engineering strategy for MS Dynamics 365 retail transformation
• Coordinated 25+ engineers across multiple delivery streams
• Identified and resolved system bottlenecks, reducing critical performance issues by 40% pre-go-live
• Delivered executive performance dashboards enabling data-driven release decisions

• Development of dynamic web components for displaying KPIs, intelligent map applications, and operational process analysis tools
• Angular 18+
• Leaflet, MapLibre
• NestJS, JavaScript, HTML, CSS
• PostgreSQL, GraphQL, RabbitMQ
• Gitea, Jenkins, Docker

• Designed and built from scratch the automation framework using Playwright, Typescript, JavaScript, Gherkin, Cucumber, BDD, Maven, IntelliJ IDEA
• Defined, developed and maintained test plans, test scripts, reports and other QA documentation in Confluence
• Created and maintained test data with SQL Server Management Studio, Toad and Faker.js
• Performed web services and API testing using Swagger Open API, SoapUI, JSON, HTML and XML
• Executed functional, smoke, regression, black box, GUI, cross-browser, UAT and E2E testing using CrossBrowserTesting and Safari Web Inspector
• Integrated and maintained automated scripts within sprints following Kanban, CI/CD, GitHub, Docker, Azure Pipelines, Agile, Scrum, Kafka and Kibana
• Raised and managed defects in Azure DevOps
• Conducted mobile testing with Robot Framework and Appium

• Test concept creation
• Creation of test processes
• Coordination of TC development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
• HW testing: FPGA, RF
• Test automation and regression tests
• Ensuring 24/7 operation of the test system
• Analysis & reporting
• Regular coordination of the test team, meetings with other stakeholders
• Communication and coordination with stakeholders and the project manager

• Initial technical analysis of the requirements for the two applications

• Creating a system concept for the interim solution and for the final solution

• Creating the product vision, customer journey, and story map for the interim solution in close cooperation with subject matter experts

• Building a development team

• Managing dependencies and interfaces with the other applications according to Domain Driven Design principles

• Creating EPICs and user stories, and maintaining the product backlog in coordination with subject matter experts and developers

• Running sprint reviews with relevant stakeholders such as subject matter experts and management

• Analyzing the requirements for the final solution

• The interim solution was built within 8 months and was successfully used for the 2022 heating cost billing

• The interim solution has since been further developed to increase automation

• A technical concept for the final solution was created

• Handover to two internal Product Owners is currently in progress

• Set up the new digitization strategy.
• Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
• In close cooperation with the business department, the individual processes are created and put into production.
• Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
• Gradual migration of old code from IBM WebSphere to JBoss.
• Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.