UI Design Expert in Germany

AI-supported document processing and inventory management integration

Design and development of an AI-supported application for the automated processing of delivery and invoice documents, connected to SelectLine ERP. Documents are analyzed using AI, matched with orders and line items, and prepared for posting goods receipts.

IMPACT:

• Automated extraction of structured order, delivery and invoice data from PDF and image documents
• Automatic and manual mapping of documents to orders and order line items
• Integration with SelectLine ERP for order import, status synchronization and goods receipt postings
• Traceable processing through separate analysis, mapping and posting processes as well as technical logging
• Development of a containerized end-to-end architecture with AI analysis, workflow automation and relational data storage

KEYWORDS: AI, document analysis, OpenAI, n8n, SelectLine ERP, FastAPI, Python, JavaScript, MariaDB, Docker, REST API, PDF, OCR, mapping, inventory management, goods receipt, workflow automation

• LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)

• Agentic AI pipeline for automated Scope 3 emissions calculations with 150.000+ validated data records

• Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems

• ML algorithms for predicting emissions hotspots and optimizing product design

• Automated data validation pipelines with NLP for quality assurance of CO₂e datasets

• Led a 15-person cross-functional team in developing 10+ AI features

• Strategic product planning and AI roadmap with 35% shorter time-to-market

• Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)

• On-time project delivery with 95% budget adherence through data-driven backlog management

• Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% increase in team velocity)

• Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)

• Designed and implemented modular AI assistants for sales and business processes within the Microsoft ecosystem (Agentic AI, Copilot extensions)
• Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, Hooks, React Query, OpenAPI clients)
• Enterprise-level agent development: reusable skill/agent library, MCP servers, review and compliance gates
• LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
• Architecture and code review consulting, and mentoring within the AI development team
• Integration with Microsoft Graph, Power Platform, and Azure services
• Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure

• Concept, interaction and UX for XR experiences for the automotive industry
• Optimizing XR experiences
• Building experiences with AI

• Spearheaded the transformation of Telefonica Germany’s cloud journey into a self-service, automated marketplace by leading process analysis and design efforts; facilitated UX/UI collaboration and served as Scrum Master for cross-functional agile teams to ensure timely and quality delivery
• Designed, launched, and managed an enterprise-wide Learning & Development program focused on cloud-native skills, upskilling over 1,500 employees; undertook full vendor management including sourcing, tendering, contract negotiation, and ongoing partnership to ensure curriculum alignment with evolving organizational needs
• Implemented cloud migration processes aligned with corporate compliance and process governance; improved process transparency and audit readiness while reducing operational risks
• Architected and led a cross-divisional communication strategy to enhance organizational engagement; developed multiple channels including newsletters and intranet content, acting as single point of contact for all departmental communications to ensure consistency and alignment

Independent product design practice supporting startups and growing companies with enterprise SaaS, workflow architecture, product strategy, and AI-enabled product development.

• Deliver end-to-end product design for digital products, websites, and SaaS platforms, combining product thinking, UX, visual design, and implementation.
• Apply AI throughout the product lifecycle—from research, synthesis, information architecture, and prototyping to development, SEO, and content strategy.
• Design and build production-ready digital products using AI-assisted workflows, enabling significantly faster iteration and delivery.
• Advise founders and businesses on product positioning, UX strategy, and digital transformation.

• Setup of new desktop computers
• Setup of a VPS for automation, databases, and chat interface
• Connection to Azure AI Foundry
• Development of various n8n workflows for email, social media, and document management
• Implementation of a QM system (backups, error handling, HITL)
• Setup and optimization of an inbound Voice Agent

• Clarification of project objectives, scope and the target business vision for building the AI-based knowledge database.
• Derivation of the initial architecture and implementation strategy for the Zasterbot chatbot, including separation of the MVP and further development stages.
• Development of a target business vision for building a structured knowledge database and integrating a future chatbot.
• Derivation and prioritization of use cases for information retrieval and provision by the chatbot.
• Modeling of data structures and flows for the effective organization of the knowledge database on the Base44 platform.
• Design and implementation of data models for storing and linking relevant information.
• Development of processes for extracting, analyzing and preparing raw data for the knowledge database.
• Ensuring data consistency and quality as the basis for the future chatbot.
• Planning the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) for precise and context-specific answers.
• Implementation of functions for analyzing and displaying data from the knowledge database.
• Use of the Base44 platform with JSON Schema-based entities and a flexible permission concept.
• Implementation of Deno functions for backend logic, event processing and connecting external APIs.
• Integration of OpenAI services for initial data analysis.

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.

• Introduction of 5 different process applications for different teams

• Release planning: scope and time management

• Resource/capacity planning

• Conducting Sprint Planning / retrospectives

• Increment planning (several sprints)

• Preparation of Steering Committee meetings / reporting to the Board

• Coordination / alignment with external suppliers / deliveries

• Resource planning for multiple projects

• Coordination with business department and development team

• Identification of best practices with IBM BAW

• Cost control and planning for the project team and external service providers

• Collection of KPIs using LogScale

• Analysis of application errors with LogScale / Queries

• User Story definitions / coordination of requirements with the business department and development team

• Testing and defect tracking

• UI/UX design of applications

• Preparation and moderation of Brown-Paper workshops

• Test concept, test data, test organization, test execution

• Collection of team velocity / metrics

• Test execution

• Script for automated testing

• Test organization with business department and IT

• Recording and prioritization of defects

• Establishment and operation of the application

• Establishment of application monitoring with LogScale Dashboards

• Checking health endpoints with PowerShell

• Post Mortem analysis

• Establishment of Incident Management

• Establishment of Problem Management

• Analysis of errors using LogScale Queries and Dashboard

• Pre-processing of data for AI

• Evaluation using AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG

• Installation of runtime environments for LLMs (Large Language Model)

• Evaluation of various LLMs

• Installation of RAG (Retrieval Augmented Generation) and integration with LLM

• Extraction of unstructured data with LLM and RAG

• Project based on IBM BAW (Business Automation Workflow), Websphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, Powershell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber

• Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
• Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
• Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
• Operationalization of the Data Governance Framework with definition of data standards
• Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
• Training and coaching the data team in migration, data quality, and data modeling

I served as the Lead Designer for two cross-functional teams at Casavi, a software platform for property managers. Casavi is a central platform for all aspects of digital property management, which streamlines operations and business processes.

SmartTask: The team focuses on ticket management, workflow automation, AI integration, enhancing communication between property managers and their clients.

Customer app/portal: The team is dedicated to fostering community engagement among residents of managed properties. The customer portal in combination with the Casavi app solves the challenges for property and facility managers.

My role spans the full design lifecycle, covering UX/UI design, user research, usability testing, and strategic design planning, across Casavi's web platform, mobile app, and customer portals. Each team comprises around 10 members, including a project manager, designer, developers, and QA testers. I am also responsible for the accessibility assurance of the whole product.

Design unit role: In addition to my core responsibilities, I actively contribute to the development and maintenance of the company's design system and style guide ensuring consistency and scalability across all products. Mentor junior designers is my official and moral responsibility.

• 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.