Artificial Intelligence Experts in Austria

• Consulting and interim management at the intersection of IT operations and regulation
• Impact analysis and implementation planning for NISG 2026 and EU AI Act, including risk management and reporting and evidence processes
• Training for governing bodies and employees on regulatory obligations
• Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
• Supervision of master’s theses and participation in the examination board
• Expert presentations in business and educational institutions
• Design and development of data and AI products, platforms and pipelines
• Privacy-first architectures and Zero-Knowledge Encryption, cloud-native on EU infrastructure
• Connection to bank account systems via SEPA direct debit mandates and message formats according to ISO 20022 (pain.008, camt.053)
• MLOps and AIOps in ongoing operations
• Own applications under own brand: shared code base, separate delivery for each target device
• AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
• Publications on EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
• Publications on data sovereignty, cloud economics and industrial image processing
• AI Governance / Compliance: Data Quality, Responsible AI, EU AI Act Readiness, Risk Classification, AI Ethics

Datacenter audit and subsequent transformation program

• Initial situation: Following a critical outage, the datacenter was considered the cause. A traditional audit was to be put out to tender.
• My diagnosis: The technical architecture was not the core problem. The key issues were the incident, diagnosis, and recovery processes, as well as a lack of transparency regarding costs and dependencies.
• Impact: The audit was implemented pragmatically in-house. The results and budget foundations became the basis for a multi-year international transformation program. I was then retained as the preferred candidate for a central transformation stream.

• 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.

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.

Project-based work on learning formats for professional development, focusing on practical delivery, digital implementation and transfer.

• Delivery of practical training for employees in the hotel industry
• Development of multi-stage learning architectures for in-person, online and individual learning formats

• Analysis of existing work, information and decision-making processes.

• Identification and prioritization of suitable use cases for AI agents.

• Elicitation of functional and non-functional requirements.

• Design of collaboration between users and AI agents, including control and escalation mechanisms.

• Support for the implementation of the AI agents and adapted keyboard hardware.

• Business target vision for the AI-first transformation.

• Structured and prioritized requirements for implementation.

• Defined roles, interactions and control points between people and AI agents.

• Preparation for the gradual automation of productive work processes.

Techstack: AI agents, LLMs, agent orchestration, RAG, APIs, automation, hardware

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.

• Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
• Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
• Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
• Optimized LLM based data extraction and classification with context engineering.
• Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.

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

• Set up and managed operational security in an upscale seasonal hotel. Responsible for staff training, risk analysis, emergency and access management, security documentation, and coordination with hotel management, employees, guests, partners and authorities.

• Procrastination for beginners. The companion for your digital business model.
• Ultimate support for digital strategy, content marketing, search engine optimization, web development, social selling, online courses and consulting from one source.
• Sparring & mentoring for self-employed people, freelancers, entrepreneurs and coaches.
• Website & social media analysis.

• Develop AWS-based components connecting Python backend services to React/TypeScript frontends.
• Improve database queries and application workflows for document processing and screening.
• Evaluate LLM retrieval and document-review workflows as part of the product stack.

Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock

Achievements:

• Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
• Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
• Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
• Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.