Claude Experts in Hamburg

• Orchestrate cross-functional delivery across organisational units in the Connectivity domain, aligning teams around integrated end-to-end, customer-testable value rather than isolated component delivery.
• Drive a shift from local component optimisation towards shared outcomes and a common delivery goal, increasing focus and enabling significantly faster integrated delivery.
• Coordinate across 15 cross-functional organisations in a highly complex OEM environment; bring Product, Engineering, Programme Management and specialist functions together to resolve dependencies and improve decision-making.
• Coach Product Managers, Product Owners and stakeholders on product responsibility, prioritisation, outcome orientation and aligned backlogs.
• Use Claude through an AWS Bedrock integration to analyse Jira and Confluence content, identify patterns, dependencies and quality gaps, and support structured product and delivery decisions.
• Establish AI-native requirements excellence with LLM-supported quality gates for epics, features, stories, acceptance criteria, roadmaps and task breakdowns; scale adoption through templates and prompt playbooks.

Public sector, regulated environment with legal deadlines and interfaces to justice, finance offices, and authorities. Took over a software product, condition unknown. The handover reported 89 percent completion.

Description / Results:

Review of the current state showed only two months of remaining runtime until year-end. Stabilized the product base in four weeks, including setup. Process logic proven instead of estimated: 181 workflows with 28 steps each verified against the legacy system.

• Instructor for applied AI in the courses "AI Implementation Architect" and "AI Business Innovator"
• Running remote training sessions to qualify participants as "AI Implementation Architect" and "AI Business Innovator"
• Building n8n-based automations for the Digital Institut des Mittelstands

Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI

• Continuous evaluation and prioritization of internal automation needs
• ~20 AI agents in active use: research, content pipelines, document processing
• 5 n8n workflows for automated data and process control
• Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
• Ongoing operation and further development

• Led the planning and coordination of TikTok’s trade-fair presence in Hamburg.
• Translated the project brief into a structured and executable event plan.
• Coordinated timelines, operational requirements and internal and external stakeholders.
• Managed the exhibition stand from preparation through on-site delivery.
• Ensured a consistent brand presentation and smooth execution throughout the event.

• Reviewing functional and technical requirements from a testing perspective
• Creating test cases and automated tests to validate requirements
• Performing manual and automated functional, end-to-end, and regression tests
• Documenting test results and tracking defects
• Using models like GPT-4, BERT, and Hugging Face Transformers for automated test case generation, analysis of test results, and improving test coverage, including bias checks and security reviews
• Techs: MS Office, Jira, Zephyr, Confluence, Tosca, stakeholder communication, Agile, Kanban, Scrum, OpenAI API, Hugging Face, PyTorch, LangChain.

• 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.

• Developing a product vision and strategy

• Creating a roadmap

• Improving stakeholder communication

• Introducing an outcome-oriented roadmap

• Aligning with stakeholders and creating transparency

• Defining relevant product metrics as a KPI tree

• Initiating measures to improve product quality and measurability

• Supporting the introduction and migration of the new Identity Provider (IDP)

Self-directed exploration of agentic AI development methods, taken from idea to a working, publicly usable application

• Built an interactive planning tool for modelling retirement withdrawals and tax strategy using an agentic AI (vibe coding) development approach – demonstrating self-directed investigation of new AI-assisted development methods
• Delivered live, tax-aware spending projections and adjustable user inputs; shipped as a free, install-free browser application built in Python, with attention to usability for non-technical users

As CFO, responsible for building a scalable financial and corporate structure focused on growth, investment readiness and fundraising. This includes creating all relevant fundraising materials and engaging with potential investors. The main goal is to establish solid structures that prepare the company financially, organizationally and strategically for growth.

• Industry: SaaS (Customer Success Management) – B2B

Comprehensive GEO implementation (Generative Engine Optimization) for a B2B CSM SaaS startup with a focus on AI Search Visibility and AI Citations in ChatGPT, Perplexity and Google AI Overviews – including a GEO workshop and a prioritized implementation roadmap.

• GEO Workshop & Roadmap: Conceptualized and delivered a GEO workshop (how LLMs work, AI Search Architecture, citation strategies); translated it into a prioritized implementation roadmap with impact/effort estimates
• Technical GEO Foundation: Robots.txt & llms.txt, Core Web Vitals & page speed, XML sitemaps for AI crawlers
• Schema & Structured Data: Gap analysis, implementation of Product/Service, FAQ, Article, Author and Organization schema, validation of coverage
• Content Architecture & GEO: Flat content architecture, topic clusters (pillar-and-spoke), 200–300 word chunks and answer-first content structure, E-E-A-T rollout through author pages
• Query Fan-Out & Prompt Anticipation: User prompt mapping, query fan-out, content gap analysis based on prompt coverage
• Citation & Backlink Strategy: AI citation analysis (news, Reddit, Wikipedia, listicles) and development of outreach and backlink strategies

Tools & technologies: Otterly.AI, PeecAI, Qforia (iPullRank), Schema Markup Validator, OpenAI Tokenizer, Prompt Coverage Monitor, ChatGPT, Perplexity AI, Semrush, Ahrefs, Framer CMS

AI-first workforce management platform for medical practices (scheduling, time tracking). Market insight: no modern SaaS solution for the sector. Product insight: only fully autonomous with AI agents.

• Vibe-coding with Claude Code — built the entire platform myself, including the AI agent "Kira" as autonomous scheduling support.
• Brand building (medishift) including SEO distribution; built onboarding and sales.
• Early-stage traction (May 2026): 7 paying practices plus 70+ practices and 500+ users on the free plan.

• Performed security assessments and penetration testing on Microsoft AI models for text, image, and video generation.
• Conducted prompt injection attacks through diverse input vectors, including crafted text, steganographic images, and manipulated visual elements (e.g., varying opacity and embedded content).

• Goal: Further development of existing data distribution from start to finish, from development partners to dealers and remote into vehicles. Designing and implementing the future data distribution in a globally distributed cloud
• Budget/Scope: Undisclosed (approx. 47 external FTE)
• Result: The project is running and is on time, within scope, and on budget.
• Responsibility: As part of the management team, leading the planning and execution of project management tasks; scope and time management (from mind map to network diagram to project plan); interface to the corporate finance department, personnel recruitment, securing budgets (e.g., from vehicle line management, production, IT budgets, etc.); demand management.