Claude Code Experts in Munich

• Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.

• Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and GHCR image; Open-Core model.

• Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ, Interface Development, Software Architecture, Continuous Integration, Knowledge Management

AI telephone assistant platform

Claude Code, Google AI Studio, Python, LLM / Voice-AI, PostgreSQL

• Conception and hands-on development of an AI-supported telephone assistant platform (voice AI / LLM) – from idea and architecture to MVP/product.
• Built agentic workflows and full automations with Claude Code and Google AI Studio.
• Also delivered AI-supported work in client engagements: used Claude Code for governance documentation, requirement drafts, and automations.

• Designing AI-first workflows that integrate AI into existing product experiences
• Developing UX concepts for prompt management, reusable and combined prompt workflows, tagging, search and information organisation
• Creating user flows, wireframes, prototypes and high-fidelity interfaces in Figma
• Defining reusable UI patterns, components and interaction logic for scalable products
• Exploring human-AI interaction patterns with emphasis on user control, transparency and manageable cognitive load
• Translating product requirements and technical constraints into developer-ready UX/UI specifications

• Governed multi-agent orchestration for regulated, EU-based companies – self-hostable, compliant with the EU AI Act and GDPR („by design“), BYOM (own models/GPU).
• Two-gate governance: agent deliberation + mandatory human approval, complete signed audit trail; graduated autonomy model („internal → autonomous per skill“).
• Verified knowledge graph („Company Brain“) with source evidence for each answer; proprietary orchestration framework (Virtual Team Framework).
• Industry solutions for financial services: compliance monitoring, invoice and contract review; hands-on development with LLMs (including Anthropic/Claude), agentic workflows, RAG.
• Development of the governance-focused multi-agent platform TeamIntel (see AI reference projects).

Internal systems with regulatory and security requirements could not be used directly by AI tools for incident triage, troubleshooting, and documentation search. The goal was to securely integrate these systems through MCP while preserving existing acce...

• Leading UX design for the neurology and emergency modules of syngovia, Siemens Healthineers' global imaging and diagnostic platform
• Exploring and implementing AI opportunities to make diagnostic workflows faster and more efficient
• Collaborating with clinical coaches, radiologists and cross-functional teams to translate complex medical workflows into clear, usable interfaces

Worked as an App Engineer as part of the IoT Control team in a React Native Stack.

• Implementing new Components based on the Tonies Design System.
• Improving, extending and maintaining Tonies Design System
• Adding new features like Volume and Playback Control of the Tonies
• Fixed connection issues via bluetooth and wifi
• Removing technical debt and polishing for an upcoming big software and hardware release
• Improving accessibility by optimizing screens and components for usage via screen readers.
• Wrote lots of automated tests to ensure app quality is always stellar.
• Weekly app releases in a high volume workload environment

Results & Impact:

• Improved app stability and connection reliability ahead of a major software and hardware release
• Raised overall app quality through a significantly broader automated test suite, catching regressions before they reached users
• Made the app usable with screen readers, improving accessibility for a wider audience
• Sustained a weekly release rhythm in a high-volume production environment without quality regressions

Technologies: react-native, expo, typescript, react-19, react-compiler, react-navigation, zustand, @tanstack/react-query, i18next, figma, app-store, play-store, sentry, bitrise, config-cat, poeditor

• Led product & design (5 reports), hiring and development of team
• Implemented product squads, innovated around data ingestion and analysis.
• €0.5M to €4M ARR in 18 months

An enterprise process mining and execution management platform that helps organizations analyze, visualize, and optimize their business processes using event data.

• Aligned 40+ engineering squads across 5 countries to deliver platform capabilities at scale, driving release infrastructure, change management, and rollout governance with zero post-launch defects for 1000+ enterprise customers
• Owned celonis studio platform roadmap prioritization, balancing technical investments, commercial priorities, and operational needs, driving 50%+ market share growth against legacy products
• Translated requirements into specifications, architectural decision records, and delivery plans in collaboration with engineering and UI/UX, resulting in a 20–30% increase in user engagement
• Drove the GA launch strategy, running pilot programs and customer discovery sessions to validate operational readiness and enterprise adoption

Senior AI expert

• Development of iOS apps in Swift
• AI-supported SW development using Vibe Coding with Claude Code
• Web applications through Vibe Programming
• Use of Swift, Xcode 15, Claude Code, Proxmox, GitLab, Visual Studio Code, Cursor, Doors, ClearCase
• Use of MS Project, OpenShift, Docker, Project Server, PageMaker, CRM, MS SQL Server
• SW techniques: UML, BPMN 2.0, ERD, client/server technology

Loom and Bloom

Python · TypeScript · n8n · Claude Code · Whisper · Gemini · Supabase · Notion · HubSpot · Digital Ocean

• Built an end-to-end content pipeline: one Loom video → marketing images, bilingual LinkedIn posts, newsletter and Help Center updates.
• n8n webhook → SSH → Claude Code session on a Digital Ocean VPS; three MCP servers (video, Notion, Supabase).
• Whisper word-level transcription, ffmpeg screenshots, Gemini UI annotation, PIL device mockups.
• Next.js upload UI plus a bilingual newsletter composer with HubSpot push.

AI-supported automation of purchases on a printing company website, including the selection of delivery times, order options, ordering, payment and uploading print data from the Lumiz cloud.

• Designing and conducting Small-Angle Neutron Scattering (SANS) experiments as an integral part of nanomaterial analysis.
• Conducting training sessions, providing support, and offering advice to users on sample preparation and data analysis to ensure they utilize the instruments to their maximum potential.
• Supporting the enhancement of neutron scattering instruments to explore and characterize magnetic phenomena in novel composite materials.
• Collaborating with an interdisciplinary team to evaluate and interpret experimental results, comprehend the scientific value of measurements, and engage in discussions to draw meaningful conclusions.