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.

• AI strategy concept and implementation roadmap for an energy consulting company.
• Use-case matrix with nine application scenarios (including funding research, chatbot, initial AI consulting, topic radar), implemented as reusable Claude Code skills.
• AI strategy, use-case analysis / Claude Code Skills / n8n.

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

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).

• Project Lead, Sr. BI Expert, Data Scientist, Automation Engineer for Marketing Analytics | Customer Insights (retail, e-commerce)
• Product Manager: Asset Metadata Ingest & Provide
• Product Owner Business Intelligence – responsible for 2 teams: cloud data engineering, data warehouse (logistics)
• Product Owner for setting up a reporting platform on Azure & Power BI (finance)

• 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.

• Design workshop curricula for software engineers and technical leads on AI-enabled engineering and on adopting AI tools effectively.
• Technical talk, 17th TestIstanbul Conference, October 2026: "What If We Tested the Tester?", on how AI amplifies the tester's judgement, blind spots included.
• Built and run the company website and online course platform (WordPress, PHP, JavaScript) with Claude Code and Cursor, plus a Playwright test suite that checks the live site's pages, links and sign-up flow.
• Built Write Check, a Chrome extension backed by a local Node.js service that scores any text box for clarity and AI-sounding phrasing, falling back across Gemini, Kimi, GPT and OpenRouter when a provider fails.
• Built a Python video pipeline that turns my online course into short narrated videos: script, text-to-speech, captions and rendering, with a review gate before each episode.
• Work under a written protocol for AI coding agents (CLAUDE.md): a definition of done written as checks before the work starts, tests that fail before they pass, and independent reviewer agents that check each claim of the coder agents against its source.
• Author of The Maintenance Trap (Level Up newsletter, May 2026), on developer productivity: why high-performing engineers get pulled into maintenance work and how to make the ROI case for fixing it.

• 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

• 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

Long-term technical support for the store for ten years, remotely.

• Integration of the Tyrolean ERP system MGM with Magento 2
• Migration of the store from Luma to Hyvä

• 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