Android Experts

• QA Lead for end-to-end quality assurance of the Sparkasse & Sparkasse Business banking apps (iOS/Android); design and implementation of the Test Strategy including functional testing, regression testing, and UAT for eID, Push Notifications, and white-label components
• Creation and maintenance of test concepts and test plans in TestRail; structured Defect Management and error analysis; stakeholder management and risk management for the early identification of critical quality risks
• Accessibility Testing according to WCAG 2.1 (iOS/Android); coordination of AI-supported test automation and optimization of test processes to shorten release cycles
• Release Management: planning, management, and coordination of all test activities; status reporting to management and stakeholders; quality assessment of releases and release recommendations in an Agile/Scrum environment
• Challenge: Highly complex build and release process across several Sparkasse institutions; close coordination with the DevOps team to stabilize the CI/CD pipeline and ensure reproducible test builds before every release.

Tools: Jira, Confluence, TestRail, Android Studio, Xcode, Firebase, Jenkins, GA4

• Success: Successful launch of the eID authentication process - quality assurance ensured for 50+ Sparkasse institutions

Analysis and structuring of business and technical requirements for the further development of the LS One checkout system. Designing solution proposals and translating them into precise implementation tasks for international development teams. Prioritizing and coordinating requirements from a functional perspective, taking business and legal requirements into account. Quality assurance through reviewing, testing and evaluating the implementation based on defined acceptance criteria. Functional support for international deployments and rollouts, as well as analysis of feedback from locations for release planning.

Additionally: Supporting the integration of Anybill to provide digital receipts, as well as coordinating business and technical requirements within the existing POS environment.

Responsible for the strategic and operational coordination of app development for the Hameln-Pyrmont district

• Development and implementation of the digitalization strategy for citizen-focused mobile services and the optimization of internal administrative processes
• Requirement Engineering: Systematic collection of complex administrative requirements and conversion into structured user stories
• Stakeholder management: Coordination between specialist departments, citizens, administrative levels and external service providers in multi-level committee structures
• Prioritization and management of the Product Backlog while taking compliance requirements and regulatory guidelines into account
• Participation in agile ceremonies and coordination meetings for continuous product improvement
• Integration of GDPR requirements and administration-specific security standards into the development process
• Citizen participation: Coordination of feedback processes and user-focused tests to increase digital citizen satisfaction

• Hands-on development of AI-native product prototypes with specialized AI agents for research, requirements, business logic, UX/flow design, test case generation and quality assurance.
• Structured use and orchestration of AI agents through clearly defined roles, inputs/outputs and handover points; breaking down complex product tasks into verifiable work packages and iterative prototyping cycles.
• Establishment of human-in-the-loop quality gates to validate AI-generated results for functional correctness, consistency, completeness and feasibility; targeted rework cycles in case of deviations.
• Development of a regulatory GenAI/rules prototype for CRD VI with a structured decision flow, web UI, rule-based validation and automated test cases; iteration of the business logic through to a pilot-ready POC.
• Design of an AI-to-Action banking prototype: AI intent → consent → bank/product logic → conversion including admin console; translating the product idea into MVP scope, role model, user flows and clickable prototypes.

• Develop custom AI agents delivering 90%+ reduction in manual workload and significant efficiency gains
• Provide end-to-end AI strategy consulting: from digital assessment to implementation and change management
• Design and deliver tailored training programs and workshops on AI adoption, prompt engineering, and automation
• Support clients in implementing scalable AI solutions integrated with existing technology stacks
• Focus areas: AI strategy, automation, workflow optimization, and capability building

• Owned the development of partner-critical onboarding processes of the B2B2C-facing SaaS platform.
• Collaborated cross-functionally with engineering, design, and enterprise clients to deliver a scalable and API-first onboarding flow.
• Delivered the company’s main initiative — dynamic product — in close collaboration with internal SMEs and energy supplier clients.
• Increased successful user activations by 10% through streamlined ADDRESS API integration and real-time monitoring tools.
• Defined and prioritized product roadmap based on business goals, client needs, and platform vision.
• Led discovery sessions and co-creation workshops with customers, turning insights into validated product opportunities.

• Planned and developed a CPU monitoring application for monitoring system performance and resource utilization.
• Designed and implemented a Spring Boot backend providing a REST API for processing and exposing monitoring data.
• Developed the React frontend for presenting monitoring information in a clear and user-friendly interface.
• Integrated PostgreSQL for persistent storage and management of application data.
• Containerized the application and its services using Docker Compose.
• Automated infrastructure provisioning and deployment using Terraform on AWS.
• Structured the application as a modern, maintainable system using REST-based communication between frontend and backend.
• Designed and developed a secure, scalable CPU monitoring architecture (cpu-watcher) with a dedicated collector application that streams monitoring data to the backend, reducing direct exposure of system resources.
• Designed a secure cloud infrastructure with the database isolated within a private network and OIDC-based authentication.
• Implemented Infrastructure as Code with Terraform and integrated version-controlled CI/CD pipelines to automate testing, infrastructure changes, and application deployments.
• Designed and implemented the frontend delivery architecture using AWS CloudFront.

Stack: Spring Boot · React · PostgreSQL · REST API · Docker Compose · Terraform · AWS

Reporting and controlling using Power BI for a production ERP system

• Analysis of ERP data and interfaces for use in Power BI dashboards
• Evaluation and migration of existing reports (e.g. Excel) to Power BI
• Development of an authorization concept for selective data access
• Documentation and training on the use and customization of Power BI dashboards

Label: Power BI, Excel, SelectLine ERP, Microsoft SQL, SQL Server Management Studio

Project: Defect Generation on Test-Bench Images of Metal Surfaces Environment: Automated Visual Inspection (AVI), Metallurgy & Manufacturing

• Objective & Implementation: Designed, architected, and trained Generative Adversarial Networks (Pix2PixHD / SPADE) for image-to-image transformation. Targeted generation of synthetic material defects (e.g., cracks, inclusions, scale) on rough metal surfaces under real test-bench lighting conditions for privacy-compliant and efficient dataset expansion (data augmentation).
• Technical Design: Implemented robust Generative AI and computer vision pipelines in Python and PyTorch. Used semantic segmentation approaches for mask-controlled defect synthesis and subsequent evaluation with EfficientDet object detection models.
• Business Impact: Massive dataset upscaling (10x) without time-consuming and costly physical test-bench runs, while significantly improving the detection performance of automated inspection systems.

Technologies & Skills Used: Python | PyTorch | SPADE | Pix2PixHD | EfficientDet | Machine Learning | Semantic Segmentation | Computer Vision

Skat Pro

Redesign and modernization of an existing game application for various clients (web and mobile)

Technologies:

• Unity 3D
• C#
• .Net
• WebGL
• Android
• iOS

• Implementation of a full-stack application with Angular as frontend framework and Java as backend language
• Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
• Control of a card printer via the Nexus Card SDK framework
• Design and implementation of card management software with web interface and JavaFX module for printer monitoring
• Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
• Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software

• Coordinate technical delivery across eight concurrent operator and consumer-platform programmes spanning Android TV, Operator TV and connected audio, targeting a combined audience of more than 500,000 end users.
• Delivered Tier 1 operator TV and Android TV deployments, managed senior stakeholder relationships, and supported additional business wins from existing customers, resulting in five further programmes.
• Led Netflix Hailstorm and Self-Serve certification programmes, supporting certification readiness and accelerating OTT deployment.
• Owned end-to-end delivery of Europe’s first Amlogic X5-based connected soundbar ecosystem and a hybrid DVB/OTT TV platform, coordinating the programme from requirements through integration and delivery.
• Introduced programme governance and supplier-delivery frameworks to improve delivery predictability, coordination and quality.
• Re-engineered CE-marking and regulatory-compliance frameworks across EU markets to strengthen compliance processes and regulatory adherence.

Re-engaged to own two product streams end to end, from concept and UX design through to AI-assisted implementation.

• Redesigned the offer and follow-up journey across 38 insurance plans, 16 providers, and four age segments, spanning web, WhatsApp, email, and SMS.
• Launched the rebuilt conversion flow in a live A/B test against the legacy version - evaluation still in progress.

• Concept, interaction and UX for XR experiences for the automotive industry
• Optimizing XR experiences
• Building experiences with AI