Kubernetes Experts in Austria

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.

Migration preparation for the upcoming ERP system change: recording all ERP-related business processes, analyzing pain points, and consolidating them into process views. Ensuring that every process can be transferred to the target system or that an alternative exists. Result: a solid working basis for system integrators and a company ready for migration.

BPMN · Camunda

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.

• Foundational member of the backend TypeScript team, responsible for translating the initial product concept into a fully functional platform.
• Architected the core resource discovery engine for Azure and AWS, successfully enabling the frontend to visualize complex cloud environments and empowering the AI to evaluate architectural patterns.
• Engineered and scaled distributed APIs and dynamic CosmosDB schemas, ensuring the database and backend architecture could seamlessly adapt to rapidly evolving product requirements.
• Accelerated cross-functional testing by developing custom data-generation tools, allowing the AI and frontend teams to simulate and test against large-scale, artificial cloud architectures.
• Drove end-to-end feature delivery by partnering closely with AI, frontend, and business stakeholders to align technical implementation with the strategic vision of the Dawnguard platform.

Focus:

• Developing and providing Cloud Native Courses
• Architecture Consulting for Platform Engineering and Cloud Native
• Supporting Teams and People on their Cloud Native Journey

Delivered Trainings:

• Kubernetes Fundamentals - From Pods to Ingresses; 2 Days
• Platform Engineering on GKE - Operators, GitOps, Gateway API, Policy Management, Storage; 2 Days
• Platform Engineering on AKS - GitOps, External Secrets, Policy Management, Ingress/Gateway API and Storage; 4 Days

Currently In Progress:

• Platform Engineering Basic / Advanced on OpenShift - OpenShift/Kubernetes Basics, GitOps, External DNS, External Secrets; Multi-Step Program with 2 Course Blocks (3 and 2 Days) and self-paced projects

• 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

Project goal: Introduce OpenShift as the run-time platform and migrate all applications to OpenShift.

My contribution: Make sure logging and monitoring for the applications were in place. Set up and put into operation the OpenShift components for logging and monitoring (Elasticsearch, Prometheus, and Grafana). Develop and implement the security concept for OpenShift. Work with developers to define and carry out the application changes needed for the OpenShift migration. Integrate monitoring into the applications.

Technical environment: Java, WebSphere Liberty, OpenShift components, Elasticsearch (ELK stack), Prometheus, Grafana.

• 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.

• 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

Further development of an insurance product quotation system

• Implementation and maintenance of pricing logic for property and casualty products (accident, property liability, business contents) based on Java and FaktorIPS
• Implementation of actuarial tariff revisions into product-specific calculation models
• Development and refactoring of backend components and web UI components
• Creation and maintenance of test tables and automated premium tests for quality assurance
• Code reviews and active involvement in quality assurance in the development process
• Production support and bug fixing in live operations

• 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

• Owned day-to-day IT operations for Service Desk, Field Service, and on-call support, ensuring business continuity for a multi-site environment
• Led the transition from Lotus Notes incident tracking to ServiceNow, defining process design, workflows, roles, and reporting
• Implemented a modern telephony system with integrated reporting, enabling real-time visibility of volumes, wait times, and SLA adherence
• Launched a customer self-service portal and on-site walk-in support model to improve first-contact resolution and user experience
• Designed, documented, and rolled out SLAs, delivering targeted training for engineers and stakeholders to drive adoption and compliance
• Acted as process owner for service operations, establishing operating procedures, request/change/incident interfaces, and quality controls
• Partnered with business and IS/OT stakeholders to prioritize demand, reduce operational risk, and improve service reliability