Claude Code Experts in Austria

I build. I advise. I think in systems. After years leading digital transformation at scale — Accenture, BP, Lidl — I made a deliberate choice: trade platform dependency for structural independence. My focus is at the intersection of AI systems, product strategy, and venture thinking. I work with operators and founders who want to move fast without losing control — of their data, their stack, their direction.

Technologies: Azure DevOps, Jira, Confluence, Office 365 (Teams, PowerPoint, Copilot, Excel, SharePoint, Forms, OneNote, PowerAutomate, Word), DataDog, Conceptboard, Python, AWS, Claude, Perplexity Methodology: Scrum

• Steering and supporting the organization in introducing Scrum and a SAFe-inspired quarterly roadmap and portfolio planning at program level.
• Servant leadership for Scrum teams and managers to achieve quarterly goals and measurably increase value creation for internal and external customers.
• Designing and building efficient communication and collaboration structures between multiple development teams and central stakeholders in the organization.
• Moderating and facilitating cross-functional workshops and management meetings to align on shared goals.
• Coaching leaders, Product Owners, and development teams on agile values, role understanding, and scaled ways of working (Scrum, SAFe, Business Agility).
• Removing structural obstacles at team and organizational level through targeted impediment management and escalation processes.
• Enabling teams to become more self-organized, accountable, and end-to-end responsible along the value streams.
• Individual coaching of key people (Product Owners, Chapter Leads, Scrum Masters) to strengthen their impact in the transformation program.
• Organization-wide identification, planning, and implementation of process, structure, and tool improvements to sustainably increase efficiency, throughput, and value creation.
• Close support for Product Owners in stakeholder management, business value prioritization, product strategy, roadmap planning, and effective collaboration with development teams.
• Introducing, governing, and scaling Azure DevOps as the central project and product management tool, including coaching the organization on usage, reporting, and alignment at all levels.

Achievements:

• Clear increase in visibility, transparency, and perceived value creation of the development teams within the overall organization.
• Noticeable improvement in communication between development, business, and other stakeholders.
• Optimization of work processes, workflow, and backlog structures, which reduced lead times, sharpened priorities, and sustainably increased team effectiveness.

Complete build of a B2B SaaS platform for recruitment agencies

• Multi-source job aggregation via ATS APIs
• AI-assisted career page scraping
• Rule-based and AI-assisted matching
• Credit-based monetization model with Stripe integration
• Live in production since July 2026

Tech stack

• NestJS
• React
• PostgreSQL
• pgvector
• Claude AI
• Prisma

• AI automation roadmap for a D2C/B2B e-commerce company.
• Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
• Deterministic n8n workflows with EU-hosted models.
• n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.

Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI

Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine

• Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
• Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
• Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
• Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
• Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
• Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
• Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).

• BSS system implementation for B2B / transformation of the central B2B system landscape
• End-to-end business responsibility for defining, structuring and prioritizing key B2B business processes as part of a complex BSS transformation.
• Work in an agile, SAFe-like setup with multiple teams involved, along with regular coordination with business, IT, solution design and architecture.
• Translation of business requirements into implementable epics, features, user stories, process models and acceptance criteria as the basis for technical implementation.
• Close collaboration with solution design and architecture to assess technical dependencies, interfaces, data flows and system impacts.
• Management of target process design as the basis for implementation in Infonova BSS.
• Interface management between business departments, IT, architecture, development and operational units, including facilitation of cross-functional workshops.
• Ensuring process consistency, governance, decision-making capability and business acceptance as part of the system implementation.

• Development of a Custom Jenkins Shared Library (Groovy)

• Integration of security checks in CI/CD pipeline (Shift-Left Approach)

• Automated vulnerability scanning and remediation workflows

• GitOps-based deployments with ArgoCD

• Semantic versioning automation with Git integration

• Container lifecycle management (Build/Scan/Tag/Push)

• ArgoCD webhook integration for event-driven deployments

• Complete cluster automation with Ansible

• Bare-metal Kubernetes installation from scratch

• High-availability control plane setup

• Unified deployment system for multi-application orchestration

• Configuration management according to NIST SP 800-128

• Host security: Linux hardening, SELinux/AppArmor

• Network security: NetworkPolicies, micro-segmentation

• Application security: RBAC, Pod Security Standards

• Data security: Encryption at rest and in transit

• Defense-in-depth principles

• Certificate management with cert-manager

• Secrets management with External Secrets Operator connected to Vault

• Infrastructure monitoring with Checkmk

• Prometheus/Grafana monitoring stack

• Security event detection and logging

• Automated health checks and incident response procedures

• MetalLB load balancing for bare-metal

• Nginx ingress controller with SSL passthrough

• NetworkPolicies for security zones

• Rook-Ceph distributed storage, CNI configuration (Weave Net)

• Container & orchestration: Kubernetes (bare-metal), Docker, Helm

• CI/CD & GitOps: Jenkins (Custom Shared Library), ArgoCD, Groovy

• Automation: Ansible, Bash, Python

• Security: nftables, RBAC, NetworkPolicies, cert-manager, Vault, Sealed Secrets

• Monitoring: Checkmk, Prometheus, Grafana

• Storage & networking: Rook-Ceph, MetalLB, Nginx Ingress, Calico

• Collaboration: Jira, Confluence

• OS: Debian, Ubuntu

• Increased system uptime and performance while decreasing costs. Managing server infrastructure for DLT and application services
• Design and implement AI-workflow automation
• Developed the stakit.io App using Redis, Prometheus, Grafana
• Creating a multi-AI chat App with advanced AI-integration
• Developing an AI-powered document analysis solution for in-house and service deployment

• Big move, focus on DIY hobbies, small personal software projects.

• AI workshops and training for marketing and specialist teams in medium-sized companies in the DACH region, in German and English, on site and remote
• Participants develop their own AI use cases and implement them directly in the workshop instead of just hearing theory
• Concept and orchestration of AI agents and automated workflows: research, market monitoring, content production, inquiry handling
• AI-supported brand and content production with Claude, ChatGPT and Microsoft Copilot, brand-consistent and with human approval
• Landing pages and websites in corporate design, built with Claude Code
• Image, video and voice with Midjourney, HeyGen, ElevenLabs, Adobe Firefly, Canva and CapCut
• More than 20 years of art direction as the foundation, so AI results have brand quality and do not look like AI
• Clients from industry, real estate and property management, as well as consulting