Kubernetes Expert in Vienna

• Consulting and interim management at the intersection of IT operations and regulation
• Impact assessment and implementation planning for NISG 2026 and the 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 on examination boards
• Industry talks for businesses 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
• Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
• MLOps and AIOps in live operations
• Own applications under my own brand: shared codebase, separate deployment for each target device
• AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
• Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
• Professional 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

Cyber Trust Austria Silver Certification

• Led application and implementation of the Cyber Trust Austria Silver label (KSV1870 Cyber Risk A-Rating; 25 validated controls)
• Mapped and fulfilled requirements covering risk management, incident response, access control, vulnerability and penetration testing, BCM, and supply-chain security, aligned with ISO/IEC 27001/27002 control themes and NIS 2 / NISG 2026 expectations
• Coordinated stakeholders, compiled audit evidence, and completed KSV1870 validation

Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.

• 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.

• Took Dawnguard from initial product concept to a launched MVP within two months, building the backend platform and reducing cloud-environment scan times from approximately 40 minutes to under two minutes across 70 accounts.
• Designed and built the core resource discovery engine for Azure and AWS, enabling the frontend to visualise complex cloud environments and the AI to evaluate architectural patterns.
• Engineered distributed APIs and dynamic Cosmos DB schemas to support rapidly evolving product requirements and variable cloud-environment structures.
• Built the architecture-generation engine to support clients with 100+ cloud accounts and dynamically generate complete architectures containing approximately 25,000 resources.
• Developed custom data-generation tools that enabled the AI and frontend teams to simulate and test large-scale cloud architectures.
• Delivered backend features end to end by working with AI, frontend, and business stakeholders from technical design through implementation and testing.

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.

Implementation and operation of OpenShift / Kubernetes solutions for customers, focusing on aspects such as storage, virtualization, security, logging, monitoring, and high availability. Support with application containerization and modernization.

• Responsible for managing GMP-Critical systems
• Leading team of 20 professionals
• Vendor management with €15 M annual budget

• Shaping service management framework as part of head office of RBI
• Service owner overseeing IT cloud services, accountable for overall quality, lifecycle, and success
• Managing customer relationships and satisfaction for 10 business units ensuring smooth business continuity and operations
• Single point of contact and service/process owner providing T-shaped expertise in IT domains, cloud platforms and services (AWS, Azure, Kubernetes, Salesforce, ServiceNow, Jira, Orca, CRM, GitHub, SFMC)
• ITSM/ITIL implementation and mentoring including design, definition, mapping, and execution
• Change and release management, UAT/test assurance, major incident management, SDLC management
• Managing regulatory and audit requirements, DORA, GDPR, ITPF compliance and reporting
• Acting as a point of escalation for complex customer issues, resolving conflicts, fostering a customer-centric culture
• People management: leading and managing service delivery teams, DevOps, vendors, and third-party teams
• Cross-tribe service delivery and contract management: KPIs, SLAs, OLAs, RPO, RTO, BCM/SCM management
• Agile/Scrum process delivery governance, stakeholder communication, and budget/cost management

• Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
• Takes over and stabilizes existing solutions after a short handover
• Business analysis and requirements engineering for migration to a new cloud environment
• Optimization of machine learning models for feature extraction and customer profiling
• Ensures data protection and compliance
• Leads the migration of on-prem systems to Microsoft Fabric
• Designs new AI platforms for clients
• Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication

• Develop a concept for the analysis of sensor data.
• Assess implementation options, products, and pricing in Azure.
• Present and advocate the solution concept to the client.
• Implement an ETL pipeline for processing sensor data.
• Integrate BI solutions with the data repository.
• Provide documentation and support for end users.

• Architected and deployed a highly available, multi-tenant Kubernetes platform on Google Kubernetes Engine (GKE) for business-critical microservices.
• Designed and implemented a comprehensive Infrastructure-as-Code strategy using Terraform for managing GKE clusters, networking (VPCs, Subnets), and IAM policies.
• Engineered optimized storage solutions for stateful workloads (MongoDB) using GKE PersistentVolumes, enhancing performance and data resiliency.
• Established a full-stack observability framework using Google Cloud Monitoring, Logging, Prometheus, and Grafana.

• Analysis of extended requirements related to existing controllers in an industrial plant
• Creating concepts for storing and visualizing sensor data
• Communication with PLCs
• Microservice architecture
• Unified architecture
• AI-based evaluations of sensor data
• Technologies used: .NET 8, Minimal API, Postgres, MQTT, RabbitMQ

• I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
• The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
• Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
• Managing over 10 global vendors and partners is crucial to project success.
• Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.