SonarQube Experts in Berlin

• Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
• Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
• Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
• Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
• Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
• Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.

OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.

• Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
• Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
• Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.

Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.

• Manage the development release and update process for a digitized nationwide trade register project "AuRegis".

• Support software in Kubernetes/OpenShift environments, configure management with Kustomize, and implement CI/CD pipelines using Jenkins/GitLab, SonarQube, ArgoCD, and Azure.

• Oversee system release of microservice architecture.

• Craft the CI/CD stack from scratch with GitLab CI, integrating integration tests, dependency checks, and security measures.

• Automate deployment onto OpenShift using Kustomize.

• Establish infrastructure components for development, code review, and code quality analysis including SonarQube.

• Integrate GitOps tools such as Kustomize and ArgoCD, leveraging both Azure and private cloud for sensitive data handling.

• Develop Python scripts in Jenkins for cryptostore configuration and system packaging of products and microservices into deployable units.

• Automate delivery to customers and deployment on test systems.

• Craft Kustomize manifests for microservices and develop accompanying automation, treating documentation as code for clarity and reproducibility.

• Serve as technical advisor for the project's first go-live and oversee further deployments as technical rollout manager.

• Planning and implementing tailored Odoo ERP solutions to support and optimize specific business processes
• Configuring and customizing Odoo modules according to individual customer requirements, including process automation and data integration
• Training and supporting end users and administrators to ensure full use of Odoo features and to enhance user skills
• Providing ongoing post-implementation support, including troubleshooting, maintenance and updates to adapt to new business requirements
• Migrating data and integrating external applications into Odoo environments for a seamless, unified data landscape
• Analyzing and improving existing Odoo systems to boost efficiency and optimize the user experience

• Developed and implemented organization-wide discovery framework based on Ulwick’s Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
• Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
• Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
• Implemented OKR framework across 4 product teams; defined quarterly objectives with measurable key results (e.g., 40% reduction in manual integration effort, self-service adoption increase)
• Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
• Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers

• Developed a Flutter app for eID ID card logins
• Focus: Flutter, iOS, eID, AusweisAppSDK, Mason, Keycloak, Agentic Coding, Arc42, Jenkins

• Subject matter expert for the client on modeling and developing Camunda BPMN 2.0
• Development of new features and APIs, and coordination of tasks
• Design and development of RESTful APIs with Swagger (code first)
• Creation of target designs, high-level concepts, and requirement specifications
• Analysis and evaluation of alternative solution approaches
• Integration of external IT systems (ANUBIS, SES, ZPS) via Google GCP Pub/Sub and RESTful web services
• Pair programming, code reviews, and collaboration with API product owners
• Consulting on transforming legacy BPMN workflows and configuring Camunda BPM
• BPMN and DMN modeling and implementation in short iterations
• Operational support, bug fixing, and knowledge documentation
• Use of TDD, static code analysis with SonarQube, and integration tests
• Automation of test cases in Java and analysis of stack traces/logs on GCP-PROD
• Identification and execution of test data and documentation of test results

• Developed a custom tool using the Mistral 7B LLM to scan, validate and report security vulnerabilities.
• Security tested AI agents, bots, and other LLMs with a focus on prompt injection, model inversion, data poisoning, EDR/AV bypass and evasion techniques, membership inference, model evasion, overfitting to malicious inputs and contextual manipulation.
• Onboarded repositories to SAST solutions for security scanning, implemented secrets scanning, DAST, SCA, and utilized ZAP for DAST in CI/CD pipelines.
• Engaged in security awareness trainings, developed CTF challenges and training materials to enhance developer security knowledge.
• Planned and executed bi-annual red teaming operations based on the MITRE ATT&CK framework and led internal and external pentests based on the OWASP Top 10 framework for 70+ applications worldwide, resulting in detection, reporting, and remediation of hundreds of vulnerabilities.
• Triaged HackerOne reports.

• Developed high-performance APIs for SDK backend on JavaEE Web, iOS, and Android, improving application performance and scalability by 30%.
• Led system design, tech stack planning, and development, ensuring 98% uptime with strong code quality and automated tests.
• Implemented CI/CD pipelines with Jenkins and GitHub Actions, reducing release cycle time by 40%.
• Deployed cloud-native applications on AWS EC2 instances, ensuring 99% uptime and optimized performance.
• Delivered clean code with full unit, component, and integration test coverage, reducing defects by 25%.
• Collaborated across engineering, QA, and product teams to deliver secure, reliable solutions.
• Mentored team members, increased development efficiency by 20%, automated routine tasks, and contributed to hiring, growing team capacity by 15%.

• Worked on the development of cloud-based web platform for different financial solutions (Payment by invoice, EPI, Freenet)
• Made technical and architectural decisions, discussed with management team the direction of the platform
• Provided technical expertise, made software improvements
• Participated in meetings, reviewed tickets, wrote documentation
• Technologies used: C#, .NET, MS Azure Services, Azure SQL, CI/CD, Azure DevOps, Jira

• Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
• Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
• Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
• Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
• Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
• Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
• Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.

• Contributed to the development of a UPI simulation system, ensuring alignment with NPCI standards from UAT to production, and achieving a 98% success rate with improved API workflow clarity.

• Built a data-driven certification process that increased scenario coverage by 40% and cut certification time to 1 week.

• Executed 100+ transaction scenarios for switch testing using a real-time sample bank, achieving 85% accuracy in critical flows and supporting on-time certification for banks.

• integrated Spring Boot microservices with RabbitMQ to automate certification workflows, reducing manual efforts by 40%.

• Supported the rollout of a global UPI simulation tool used by 20+ international partners to explore real-time remittance APIs and process flows efficiently.

• Streamlined certification workflows, reducing integration time by 50% and enabling full API understanding within a week.

• Engineered a real-time international remittance simulator and testing framework facilitating API/application flow comprehension for partners like Lyra and TerraPay; cut partner integration time by 40%.

• Developed RESTful APIs using Spring Boot and Kafka to simulate high-volume remittance traffic for partner certification.

• Collaborated with international partners to optimize API performance, identifying and resolving latency issues, resulting in a 25% reduction in response times during partner integrations.