Midjourney Experts in Germany

• 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

• Designing UX for a B2B AI SaaS platform covering the full software development lifecycle, including an orchestration transparency panel showing users which AI model is active at each stage, reducing AI opacity and building user trust in multi-model workflows.

UEF 3.0 · Semantic Government Overlay (SGO) · Autonomous Systems (UAS / dual use)

• Designed: Semantic Government Overlay (SGO) – AI-guided administration without replacing existing specialist procedures. Read-only semantic layer over registers and specialist processes based on the Federal Information Management (FIM). Decision authority remains with the case worker (architecture principle).
• Developed: Reference architecture with source-backed, derived statements (Executable Ontologies OWL/RDF/SHACL). Technically guaranteed purpose limitation and no-write-path principle in specialist data – auditable, without a central data pool.
• Anchored: Regulation as a design principle: EU AI Act (high-risk obligations for public-sector AI, fundamental rights impact assessment under Art. 27), GDPR, NIS2, and administrative automation limits (§ 35a VwVfG, § 31a SGB X) as technical control points in the architecture.
• Created: Methodical tool for pilot organizations: data pipeline assessment (phase 0), compliance blueprint, and management summary as a decision-ready package for public administration.
• Specified: UEF 3.0 as a successor architecture to TOGAF – decision paper, canonical ontology, six-layer architecture, read/actuate boundary, federation registry, terminology concordance, and release delta as a closed specification status.
• Architected: AI-native mission OS for autonomous UAS and ground robotics as a tactical layer on top of a separately approved autopilot. Run-time assurance according to ASTM F3269-21 (Simplex pattern): the verified safety controller keeps authority, the AI function provides suggestions.
• Designed: Three-tier architecture – Tier 0 autopilot with 650 Hz flight control on RTOS, Tier 1 AI OS with semantic world model and multi-agent cluster, Tier 2 swarm and ground mesh. Zenoh as the primary fabric, MAVLink as the only authenticated command path (single writer). Result: graceful degradation – loss of the mission, not of the aircraft.
• Secured: Two-gate chain on the read/actuate boundary – governance gate (can-question: AI Act risk class per actuation, enforced human oversight under Art. 14, immutable log) before the RTA safety monitor (is-it-correct question: flight envelope, geofence, energy reserve) with revert to the baseline controller.
• Anchored: Dual-use architecture with common core and build-time fork instead of runtime switch. Three separate legal levels: civil variant – UAS under the EASA Basic Regulation (EU) 2018/1139 with the limited applicability under Art. 2(2) of the AI Act, ground robotics under the Machinery Regulation 2023/1230 with the full high-risk obligation chain, Cyber Resilience Act for both; unarmed carrier variant as defense material under AWG/AWV and Dual-Use Regulation 2021/821 (BAFA approval); armed variant under KrWaffKontrG. Each variant lives under exactly one dominant legal regime. Evidence base: AI BOM, SBOM, and complete data lineage.
• Analyzed: System analysis and realignment of grown engineering system landscapes. Approach concept for consolidation without migration – semantic layer over the existing sources instead of data transfer. Result: decision-ready implementation concept including an evaluation model for the target architecture.

• Bootcamp Coach: "Digital Sales with AI" for neuefische GmbH
• Creation of curriculum and content for career changers seeking to start a career in digital sales
• Teaching of methods and tactics for an exhaustive tech stack:
• AI Agents Zapier and make.com
• AI Tools Midjourney, heygen, Text-Text LLMs (ChatGPT, Claude, Gemini etc.)
• Sales Software Stack: Fireflies, HubSpot, WIX, Talkwalker

• Sole UX designer on a full product redesign and the foundations of a design system for Widget Designer, a B2B professional desktop tool for real-time media control used in live events and installations, working with a product manager and two engineers.
• Grounded the redesign in user feedback, a product audit, and competitor analysis, which surfaced where the tool's depth had outgrown its usability, leaving expert operators to manage complexity in live moments where errors are immediate and irreversible.
• Restructured the workspace, navigation, and panels around the operator's real workflow, so they keep the full depth of control while gaining the clarity to act with confidence under live pressure.
• Extracted a design system from the redesign: semantic color roles, component states, spacing rules, and reusable dialog and form patterns, with foundational accessibility built into color contrast and state feedback, validated through prototypes against the legacy codebase and giving design and engineering a shared foundation to build from consistently and at speed.

• Strategic and operational marketing consulting for companies (positioning, lead generation, building marketing structures)
• Development of marketing strategies including responsibility for operational execution
• Concept for a productized service offer for SMEs
• Building AI-supported workflows and automations for marketing and sales

AI • Enterprise SaaS • Product Strategy • Product Discovery

Led product design for enterprise SaaS, AI-powered and customer-facing products.

• Defined product strategy from discovery to delivery
• Designed complex workflows, design systems and scalable UX
• Led UX research, product discovery and stakeholder workshops

• Developed and optimised structured support workflows and evaluation procedures, applying consistent quality standards across high-volume operational tasks.
• Monitored performance metrics to identify systemic issues and drive targeted improvements — a skill directly transferable to LLM performance metric analysis.
• Managed escalations and maintained high accuracy and satisfaction standards in a fully asynchronous, remote-first environment.

• Brought together AI initiatives through central coordination and integration of artificial intelligence projects to increase efficiency and business value.
• Identified and prioritized AI use cases through business process analysis and translated them into structured product backlogs and roadmaps.
• Led change management activities, including the rollout of new digital tools, communication strategies, and training concepts to support cultural change.
• Managed requirements and processes through end-to-end requirements analysis, process modeling, and organizational optimization.
• Scaled agile practices (Scrum, Kanban, OKRs) and promoted cross-functional collaboration and continuous improvement.
• Supported company-wide digital transformation by leading technical change initiatives and strengthening collaboration models.

• Architect AI strategies and smart business processes for companies implementing AI initiatives.
• Focus on pragmatic and trustworthy AI integration delivering tangible operational value.

• Proposed a unified advisor experience to simplify customer interaction management and helped secure buy-in for full-scale development.
• Redesigned 3 critical financial service workflows, improving usability while meeting compliance and accessibility requirements.
• Worked closely with legal, engineering, and accessibility teams to take solutions from early concepts to production-ready designs.
• Identified and fixed a major bottleneck in the request-handling flow, reducing friction for support teams by 40%.

• Straumann Group
• Straumann Foundation
• Idrott utan Gränser
• Duty of Care Alliance
• Resembid
• Expertise France
• European Union
• Antigerm
• Board Advisors
• Kultwerk
• Lang Recycling
• Resphere

• AI in recruiting
• Talent acquisition
• End-to-end recruiting
• Direct sourcing
• Dealing with hiring managers
• IT know-how
• Candidate experience

Responsibility for the end-to-end product experience of the SENEC app (B2C energy platform).

Focus areas:

• UX ownership for app structure, information architecture, and user flows
• Concept and design of complex system views (energy flows, devices, monitoring)
• Development and ongoing improvement of the UI & multibrand design system (SENEC, EnBW, Yello)
• Translating technical system logic into clear, easy-to-understand interfaces
• Close collaboration with product, engineering, and stakeholders
• Structuring decision-making processes and clarifying responsibilities

Focus:

• Mobile UX/UI (iOS / Android / PWA)
• System experience & platform logic
• Design consistency across all app touchpoints