Microservices Experts in Austria

• 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.

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.

Senior Expert / Program Manager

IT Services

• Management of internal projects for infrastructure modernization: setup and maintenance of test environments that realistically replicate complex customer networks.
• Resource coordination: planning server capacities and cloud resources for automated test runs.
• Implementation of CI/CD pipelines to integrate automated tests into the build process.
• Evaluation of performance bottlenecks through load testing (NeoLoad/JMeter) to ensure scalability.

Tools / Technologies: Jenkins, Docker, GIT, ButBucket, NeoLoad, Azure

• 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.

• 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.

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.

• Backend / Microservices Developer, DevOps, Test Automation
• ~100 Developers, ~10 Teams, per Team: 1 PO, 1 ScrumMaster, 1UX, 1 Developers, 1 Tester
• .net core 8, 9, C#
• Microservices, Clean Architecture, MediatR, CQRS
• GraphQL, REST, SDL
• Azure DevOps, CI / CD pipelines, Azure Service Bus, Rabbit-MQ, Kafka, Azure App Configuration, Azure KeyVault, Azure Kubernetes AKS
• Splunk, dashboards, custom metrics, Elastic-Search, Kibana (ELK)
• Azure SQL Databases, Azure Cosmos DB
• Architecture decisions, event governance, COP (Backend, DevOps, FrontEnd, Test Automation)
• AI, Copilot, creating Test Templates
• Scheduler, Hangfire, Quartz
• Automated Unit and Integration Tests
• Automated E2E Tests, Playwright Test Automation, BDD, Gherkin, Cucumber
• Shipment tracking
• GIS, GPS data, geofence, geo search, position tracking, asset positions
• Jira, Confluence
• Focus on high-performance message-oriented architecture (~xx e6 messages / month / service)
• Structured logging, Serilog, OTel, Splunk, Application Monitoring
• Integration of different position data sources (GPS-based data) into AzureDataLake

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

• Incident analysis and troubleshooting
• Process improvements in collaboration with the business teams
• Joint design and implementation of requirements with the business department and architecture
• Planning and execution of quality management

• Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
• Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
• Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
• Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
• Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
• Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
• Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
• Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
• Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
• Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
• Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
• Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
• Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
• Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.

• Lead software architect in a greenfield MES project (Manufacturing Execution System / factory control system), responsible for architecture decisions, technology selection, and technical direction throughout the entire development lifecycle
• Designed and built the core framework from scratch, including several reusable Spring Boot starters (e.g., OPC-UA integration, messaging, security) that enable flexible composition of the individual system modules
• Introduced Keycloak as the central authentication and authorization system with SSO across all MES components
• Created and owns the full CI/CD pipeline covering Java, NPM and Docker – automating build, test, containerisation and deployment across all project components
• Set up the architecture documentation space in Confluence as the single source of truth for all architecture decisions, component designs, and integration patterns
• Defined and enforced naming conventions and coding standards to ensure consistency in the growing codebase
• Conducted regular code reviews for quality assurance, knowledge sharing, and adherence to architecture guidelines
• Created and maintained technology roadmaps to guide future development priorities and infrastructure investments

• 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