WCAG Experts

• QA Lead for end-to-end quality assurance of the Sparkasse & Sparkasse Business banking apps (iOS/Android); design and implementation of the Test Strategy including functional testing, regression testing, and UAT for eID, Push Notifications, and white-label components
• Creation and maintenance of test concepts and test plans in TestRail; structured Defect Management and error analysis; stakeholder management and risk management for the early identification of critical quality risks
• Accessibility Testing according to WCAG 2.1 (iOS/Android); coordination of AI-supported test automation and optimization of test processes to shorten release cycles
• Release Management: planning, management, and coordination of all test activities; status reporting to management and stakeholders; quality assessment of releases and release recommendations in an Agile/Scrum environment
• Challenge: Highly complex build and release process across several Sparkasse institutions; close coordination with the DevOps team to stabilize the CI/CD pipeline and ensure reproducible test builds before every release.

Tools: Jira, Confluence, TestRail, Android Studio, Xcode, Firebase, Jenkins, GA4

• Success: Successful launch of the eID authentication process - quality assurance ensured for 50+ Sparkasse institutions

• Functional requirements management for DIVID, the Umweltbundesamt platform for administering the single-use plastics fund. Focus: entitled parties, sub-entitled parties, and benefit reports.
• Consolidation and analysis of specifications, Jira, Confluence, functional concepts, and UX designs. Independent structuring and delimitation of requirements, as well as identification of contradictions, gaps, and dependencies.
• Creation and quality assurance of implementable user stories with clear, testable acceptance criteria. Preparation of decision alternatives and coordination with business, development, UX, and QA through team refinement.
• Conducting manual and technically assisted accessibility tests. Coordinating findings with QA and the Product Owner for further planning and implementation.
• Result: more consistent requirements, clearly defined processes and stories, and transparent open decisions. Separation of assumptions from confirmed requirements; better basis for implementation, refinements, and QA test cases.

Tools used: Jira, Confluence

• Built a customized MediaWiki instance, including installation, MySQL database, SSL, and automatic backups
• Set up user roles (Admin, Mod, Verified, User) and a permissions system
• FlaggedRevisions for editorial review workflows · Commenting and rating extensions

• Analyzed and structured complex service processes
• Developed Customer Journeys, User Journeys, and Service Blueprints
• Facilitated workshops to define requirements
• Defined an MVP with stakeholders
• Provided a clear basis for decision-making
• Reduced uncertainty in early project stages

• End-to-end analysis and optimization of existing processes in campaign management, contract management and district heating construction/construction coordination
• Development of automated contract management and transformation scenarios, including software selection and integration
• Analysis of ERP, chat, RCS messaging, consent management and tracking
• Preparation of recommendations, decision proposals and presentations for the executive board
• Use of AI for process optimization
• Tools: Apple Office, Microsoft 365, Teams, Claude, ChatGPT

Medikamendo: E-health platform for digital repeat medication & follow-up prescriptions

• End-to-end implementation: UX conception, UI design, and frontend development for three connected portals (patients, medical practices, pharmacies).
• AI prototyping: Efficient creation of interactive prototypes using Figma and GitHub Copilot.
• Design system: Creation and continuous development of a consistent design system and UI components.
• Corporate design: Maintenance and further development of the consistent brand presence and websites.

Building an open-source CRM with AI integrations

Open-source CRM for small teams, offered as a cloud version and as a self-hosted core product. I own the product technically end-to-end: user interface, business logic, data model, interfaces and operations. Since December 2025, I have been working full-time on Customermates.

Responsibilities:

• Designed and built the CRM workflows for contacts, organizations, deals and tasks, with configurable table and board views.
• Frontend with Next.js, React, Tailwind CSS and MobX; backend business logic with Node.js, Prisma and PostgreSQL, input validation with Zod.
• Built a REST API, webhooks and an MCP interface that lets external applications and AI clients work directly with the CRM.
• Integrated AI assistant based on the Vercel AI SDK, with stored conversations and streamed responses.
• Developed and maintain an n8n community integration for CRM operations and event-driven automations.
• Build, delivery and operations with Docker, GitHub Actions and Vercel, both as a cloud offering and for self-hosting.

Results:

• Product live as a cloud and self-hosted version; source code and integrations public on GitHub.
• More than 200 GitHub stars for the CRM repository (as of 09/2026).

Frontend: TypeScript, React, Next.js, Tailwind CSS, MobX

Backend and data: Node.js, Prisma, PostgreSQL, Zod

APIs and AI: REST, Webhooks, MCP, Vercel AI SDK, n8n

Cloud and CI/CD: Docker, GitHub Actions, Vercel

• Designed web and mobile interfaces, user flows, and design systems in Figma, Adobe XD, Motif, and Lovable, ensuring WCAG 2.1/2.2 accessibility.
• Conducted UX research and delivered responsive websites and e-commerce on WordPress® and Squarespace®, Webflow®.
• Integrated AI-generated imagery (syntography) and AI video creation into branding, prototypes, and editorial projects.
• Lead visual design, creative direction, and client collaboration to deliver functional, innovative, and visually compelling digital experiences.

Conversion & UX Optimization of a Sales Platform

• Identified the biggest issues across the entire purchase process through a comprehensive UX audit.
• Increased conversion from 0.2% to 25% by developing an end-to-end purchase process, supported by a new information architecture and clearer messaging.
• Accelerated implementation with screen annotations that prevent misunderstandings between design and development.
• Reduced the purchase process drop-off rate from 85% to 15%.

Tools: Figma, MS-Clarity, interaction principles, heuristics

Consulting and software for intralogistics automation (AGV/FTS) · Product lines AGVHub (independent AGV project consulting, layout editor) and OneBob (all-in-one business software for small teams)

• Designed and planned the implementation of a supervisory control system for a bakery production line (engineering customer, kick-off workshop 08/2025): three development stages, eight acceptance-ready milestones, batch traceability, AGV integration with RFID, Vue frontend.
• Discovery and requirements discussions with plant logistics and IT teams at industrial customers (life science, aviation, steel, engineering): translated supervisory control, ERP interface, and VDA 5050 requirements into architecture and requirements specification structures.
• Go-to-market automation and analytics: Bing and Meta campaigns, LLM-supported LinkedIn content pipeline, performance dashboards for partners and sales.
• Expert posts on LinkedIn about robotics and intralogistics: around 170,000 impressions across 41 posts (03 to 08/2026).

Product development for the Miele app – design system, UX, and end-to-end product responsibility.

• Built and expanded the design system – components, design tokens, dev handoff
• Created user flows and customer journeys for core app features (device control, recipes, maintenance)
• Usability testing and iterative UX improvements
• AI-powered personalization – smart program recommendations based on usage behavior
• AI tools in the design workflow: automated accessibility checks, Figma AI, rapid prototyping
• AI-synthesized user research – condensed interviews, feedback, and usability data into structured insights

• Development and optimization of the RTL+ frontend application for SmartTV and set-top box platforms with React and Next.js.
• Key role in the technical coordination of developers within the team and in coordinating implementation.
• Central interface to adjacent teams to simplify development processes and improve cross-team alignment.
• Improved frontend performance, stability, and rendering behavior on low-powered devices in a restricted runtime environment.
• Implemented a frontend testing strategy with Jest, React Testing Library, and Playwright.
• Implemented accessibility improvements according to WCAG 2.2 and WAI-ARIA.
• Integrated Didomi Consent Management as a contribution to increasing ad monetization on streaming platforms.
• Used AI-supported engineering workflows with Cursor for structured implementation, refactoring, and faster problem solving.

Technologies used: React, Next.js, TypeScript, JavaScript, GraphQL, Apollo Gateway, Zustand, Tailwind CSS, Styled Components, React Testing Library, Playwright, Jest, HTML5, CSS3, AWS Lambda, EC2, CloudFront, S3, GitLab CI/CD, NX, Cursor

Designing AI-native digital products by combining product strategy, UX research, interaction design, software engineering, and modern AI workflows. Leading projects from discovery to implementation while integrating AI throughout the entire product development lifecycle.

Key responsibilities

• → Product discovery, stakeholder workshops, Jobs-to-be-Done and user research
• → User journey mapping, information architecture and interaction design
• → Wireframes, high-fidelity UI, prototypes and scalable design systems in Figma and Penpot
• → AI-assisted interface generation and rapid concept exploration using Figma AI, Figma Make and generative design workflows
• → Design-to-code workflows with AI-supported frontend generation and engineering collaboration
• → Building accessible interfaces following WCAG 2.2 and enterprise design standards
• → Usability testing, iterative validation and KPI-driven product optimization
• → Development of AI knowledge systems, MCP-powered design workflows and human-in-the-loop review processes
• → Close collaboration with engineering teams to ensure production-ready implementation

• Designed role-based delivery assignment workflows, switchable between own fleet and partner carriers, with traceable status chains from „pending“ to „in delivery.“
• Designed AI-assisted route optimization, where dispatchers review drive-time-optimized route suggestions as drafts and apply them in one click.
• Designed a central planning interface for delivery and route management, bringing table view, map view, and route composition into a single workflow.
• Built interactive prototypes to align new product features early with stakeholders and engineering.

Key methods: AI-assisted Product Design, Workflow Design, Role-Based Workflows, Dashboard Design, Interaction Design, Prototyping, Logistics/Operations UX, Stakeholder Collaboration