Siemens Teamcenter Experts in Germany

• Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
• Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
• Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
• Operationalization of the Data Governance Framework with definition of data standards
• Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
• Training and coaching the data team in migration, data quality, and data modeling

PSA, Peugeot Citroën, France (10/2023 – 05/2024)

• Launch Manager for electrode production rolling lines
• Setup, modernization, and commissioning of cleanroom production equipment
• Management of a team of 15 Chinese technicians
• Recovery of a three-month delay and on-schedule delivery

• Functional responsibility for the SAP PP stream within an S/4HANA Global Template rollout in PP/QM/ePPDS
• Leading fit-gap workshops with Production, Supply Chain, and Quality Management
• Master data migration in PP & QM (routing, bills of material, work centers, production versions, capacities, inspection plans)
• Work center - shift group integration in capacity planning
• PP- EWM, MES(BDE) & IBP integration
• Responsibility for solution design, customizing, testing, cutover, and go-live in PP
• Replacement of LMPC with ePPDS

UEF 3.0 · Semantic Government Overlay (SGO) · Autonomous Systems (UAS / dual use)

• Designed: Semantic Government Overlay (SGO) – AI-guided administration without replacing existing specialist procedures. Read-only semantic layer over registers and specialist processes based on the Federal Information Management (FIM). Decision authority remains with the case worker (architecture principle).
• Developed: Reference architecture with source-backed, derived statements (Executable Ontologies OWL/RDF/SHACL). Technically guaranteed purpose limitation and no-write-path principle in specialist data – auditable, without a central data pool.
• Anchored: Regulation as a design principle: EU AI Act (high-risk obligations for public-sector AI, fundamental rights impact assessment under Art. 27), GDPR, NIS2, and administrative automation limits (§ 35a VwVfG, § 31a SGB X) as technical control points in the architecture.
• Created: Methodical tool for pilot organizations: data pipeline assessment (phase 0), compliance blueprint, and management summary as a decision-ready package for public administration.
• Specified: UEF 3.0 as a successor architecture to TOGAF – decision paper, canonical ontology, six-layer architecture, read/actuate boundary, federation registry, terminology concordance, and release delta as a closed specification status.
• Architected: AI-native mission OS for autonomous UAS and ground robotics as a tactical layer on top of a separately approved autopilot. Run-time assurance according to ASTM F3269-21 (Simplex pattern): the verified safety controller keeps authority, the AI function provides suggestions.
• Designed: Three-tier architecture – Tier 0 autopilot with 650 Hz flight control on RTOS, Tier 1 AI OS with semantic world model and multi-agent cluster, Tier 2 swarm and ground mesh. Zenoh as the primary fabric, MAVLink as the only authenticated command path (single writer). Result: graceful degradation – loss of the mission, not of the aircraft.
• Secured: Two-gate chain on the read/actuate boundary – governance gate (can-question: AI Act risk class per actuation, enforced human oversight under Art. 14, immutable log) before the RTA safety monitor (is-it-correct question: flight envelope, geofence, energy reserve) with revert to the baseline controller.
• Anchored: Dual-use architecture with common core and build-time fork instead of runtime switch. Three separate legal levels: civil variant – UAS under the EASA Basic Regulation (EU) 2018/1139 with the limited applicability under Art. 2(2) of the AI Act, ground robotics under the Machinery Regulation 2023/1230 with the full high-risk obligation chain, Cyber Resilience Act for both; unarmed carrier variant as defense material under AWG/AWV and Dual-Use Regulation 2021/821 (BAFA approval); armed variant under KrWaffKontrG. Each variant lives under exactly one dominant legal regime. Evidence base: AI BOM, SBOM, and complete data lineage.
• Analyzed: System analysis and realignment of grown engineering system landscapes. Approach concept for consolidation without migration – semantic layer over the existing sources instead of data transfer. Result: decision-ready implementation concept including an evaluation model for the target architecture.

• 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.

• Automated Python-based analysis of test script repositories
• Built a SQLite database for signal and value tracking
• Identified critical discrepancies with ad-hoc SQL queries
• Technologies: Python, SQLite, Excel/ODBC

• Strategy to migrate data after the takeover of a company

• Designing processes for implementing regulatory IT requirements (VAIT, BAIT, DORA, MaGo) and establishing them within the IT organization
• Monitoring the execution of these processes, quality assurance and adaptation to new requirements
• Support and coordination of the annual audit regarding regulatory IT requirements (PwC)
• ITK governance
• Software lifecycle management
• Documentation and control of the IDV development process
• Process support and policy creation when setting up test management with regard to DORA and VAIT
• Policy creation for IAM processes
• Tools/Applications: ServiceNow, Confluence, Jira, M365, Loop, Connect, Omada

SAP MDG & S/4 HANA Transformation/Migration on BP/MM/FICO & FICA

• CAD system: SolidWorks 2021
• PDM database: HXP SolidWorks
• Product: mobile hydrogen refueling station
• Handling and implementing change requests
• Independently developing products for new applications
• Reviewing and approving production and assembly drawings
• Providing technical support to engineering service providers
• Collaborating closely with purchasing and quality teams
• Developing and achieving cost reduction goals
• Planning and executing concept validations
• Independently creating solution proposals and technical concepts for new ideas
• Establishing and maintaining supplier relationships

• Cost estimation for a hydraulic system, taking into account the costs over the entire product life cycle and optimizing the technical specifications.

• Analysis of the current process
• Development of the target processes
• Support for the implementation of improvements in an SAP-enabled program
• Simplification of customer contact initiation
• Streamlining internal processes through automated real-time verification of claim relevance
• Creation of use cases

• Conception and detailed design of mechanical systems.

• CAD modeling, drawings and calculations.

• FEM, motion analysis and reverse engineering.

• Preparation of technical proposals and claim management.

• AIRBUS A-320 Assembly Station.

• AIRBUS A-350 Manual Assembly Station.

• FORD Truck R&D Prototype Manufacturing Station.

• Operational responsibility for the company (customer management, delivery performance)
• Crisis and change management
• Closure or relocation of a production site
• Making personnel decisions
• Leading, developing and motivating teams
• Budget responsibility