Xcode Experts in Germany

I continuously expand my expertise in AI and automation. I work with ChatGPT, OpenAI, Manus, Gemini, MS CoPilot, APIs, LangChain, Hugging Face, Manus, TensorFlow, and Auto-GPT, as well as Python-based ML frameworks and MLOps tools, to intelligently transform traditional software development, analysis, and testing processes.

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

• 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

• Contributed to the architecture design process, resulting in scalable and maintainable solutions for complex projects.
• Enhanced app performance by optimizing code and implementing efficient algorithms.
• Stayed current with industry trends to ensure implementation of best practices in app development.
• Led a team of iOS developers for timely completion of projects and achieving client satisfaction.
• Translated basic design plans into full iOS app frameworks, delegating project components to appropriate team members.
• Estimated work hours and tracked progress using Scrum methodology.

Conducted an independent technical assessment of an AI-enabled software platform, combining AI risk auditing, cybersecurity analysis and software architecture review. Reviewed application components, APIs, data flows, LLM integrations, retrieval-augmented generation, multi-agent orchestration, authentication, tenant isolation, dependency vulnerabilities, AI governance and model lifecycle controls. Authored a technical audit report with a structured risk register, source-code evidence, regulatory references, corrective actions, AI system inventory, risk classification, remediation roadmap and Key Risk Indicators.

Technologies: TypeScript, JavaScript, React, Next.js, Node.js, REST APIs, MongoDB, Redis, AWS serverless services, OAuth 2.0 / OpenID Connect, LLM APIs, RAG, vector search, multi-agent orchestration, Model Context Protocol, C4 architecture modelling, threat modelling, NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, OWASP guidance, MITRE ATLAS

• Technical project management for a new policy administration and quotation management tool in the area of personal insurance, large commercial business and specialty insurance
• Extension of an established standard solution with dedicated line-of-business modules for industry and public institutions
• Establishment of project structures, teams, organization and communication processes
• Integration of the solution into the existing insurance ecosystem and connection to various surrounding systems
• Stakeholder management and classic project management (on time, in scope, within budget)
• Responsibility for the project budget and delivery
• Initiation, planning, implementation, testing and go-live
• Tools used: MS Office, Jira, Confluence, Xray

• Development of an iOS app that combines public transport and sharing services
• Collaboration according to Scrum in a large cross-functional team
• Creation of reusable components with SwiftUI and Combine
• Development of a custom solution for Apple Maps

• Conducted research and development in the field of large-scale 3D reconstruction

• Successfully implemented the complete macOS app 'PDF Content Search' and iOS app 'PDF Cnt Search' from initial concept through final deployment to the App Store.

• Maintenance and enhancement of the DMS (Dealer Management System) developed by Mazda, as well as external interfaces to various third-party systems
• Management of service orders and provision of central components such as customer and vehicle management
• System design and further development/maintenance of the Delphi application using a Firebird database
• Creation and maintenance of SOAP/REST-based interfaces
• Technologies: Delphi, C#, .Net, SOAP, REST, Firebird, OAuth, Jira, DUnitX, Git

• Managing projects, including steering the international project team of up to 15 staff
• Intensive customer communication
• V-modell according to Automotive SPICE

• Coordination and planning, execution, documentation, and analysis of test cases
• Development of test concepts considering best practices (e.g., test pyramid) with a focus on reliable, automatable test runs
• Implementation and maintenance of test cases according to the test concepts
• Technologies: Citrix Workspace, Shopify, Jira, Xray, MS Teams, MS SharePoint, Confluence, MS Office 365

agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.

• Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
• I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.