Statistical Process Control Experts in Germany

• Redesign of legal operations: standardised workflows reducing routine effort by up to 80%, with source citation, hallucination check as quality gate, role model, logging and audit trail.
• Compliance-by-design operating model (EU AI Act readiness, GDPR, eIDAS) with documented, releasable process steps.
• Roadmap, sprint planning and release management for an agentic RAG platform with counsel-in-the-loop approval, audit trail and German hosting.
• EU AI Act readiness, GDPR and eIDAS requirements managed as first-class project deliverables; go-to-market for two customer verticals.

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.

• Responsibility for all operational areas from logistics, production to supply chain, quality, planning, and improvement
• Building a new operations organization structure in response to increased demand during the COVID-19 situation
• Redefining internal processes and establishing a leadership structure for quick market response
• Setting targets and continuously tracking operational goals
• Reducing lead time in the extruder area from 28 weeks to 10 weeks within 15 months through sustainable supply chain and flexible manufacturing methods
• Cutting lead times in the lab area for analytical devices from 15 weeks to 3–4 weeks
• Increasing output in the analysis department by 35% while reducing capacity by 20%
• Implementing measures to reduce inventory and increase inventory turnover
• Improving supply chain strategy, cycle time reduction, and flow production for serial products
• Driving digitalization in production and warehouse management
• Implementing a comprehensive reporting system

Development and Implementation

• Conceptualization and implementation of the various requirements.
• Experience and ability to collaborate with other delivery teams
• Lead a team of 15 people taking care of matters including monitoring operations, delegating tasks and managing budgets.
• Act as product owner and represent the product vision, strategy and priorities in the area of production operations.
• Work closely with the members of the area including developers, analysts and QA to ensure the successful delivery of logistics features and improvements.
• Lead the process design and lead the build team for the SAP implementation (EU countries) and post-merger integration in SAP PP, QM, MM, APO and SD modules.
• Implemented and optimized MRP Live (MD01N) for multiple plants, improving planning runtime
• Worked with business users to transition from classic MRP to MRP Live
• Implemented SAP QM module, including quality planning and inspection lot processing, resulting in a 20% improvement in product quality compliance.
• Developed and tested custom reports using SAP Query and ABAP for MES data analytics, improving visibility into yield rates and resource utilization.
• Translate production requirements into clear and actionable user stories, acceptance criteria and technical specifications.
• Skilled in discrete, and process/manufacturing (PP-PI) environments; deep understanding of master data, production & process orders, recipe management, batch management, capacity & scheduling, shop floor control, and integration with QM, MM, EWM, MES.
• Worked in Variant configuration (VC)
• Supported international rollouts and transformation projects for SAP PP, QM, PPDS, aATP, EWM, and Variant Configuration within a global strategy.
• Tested functionalities for various business scenarios include interface systems
• Involved in SIT and UAT and cutover activities

Technology: Project Management, SAP PP, QM, MM, APO, ABAP OO, HANA Modelling, FIORI, SAP UI5, AMDP, SAP SD, SAP FICO and S4 HANA Emedded analytics

• Consulted for Daimler AG, Porsche, BMW, Smart and global supply industry players including VW, Continental, Magna, Webasto, JCI, Mahle, Valeo, Grammer, Woco, Hella, Brose, Faurecia, Lear and Dräxlmaier
• Achieved ISO TS 16949 certification within 12 months instead of two years
• Implemented and trained QM department; managed production and plant operations
• Executed relocation of Tier 1 VW Passat sealing systems production to Poland (360 workplaces)
• Led the Slovenia Porsche AG OEM headlights project: supplier development, Q-gate implementation, definition of boundary samples, intensive operator training, productivity increase, cost reduction, shop floor Pareto error evaluations, corrective actions, and ensured IATF 16949 & VDA 6.3 certifications and delivery quantities

• Direct reporting to executive management with responsibility for the entire quality management function in the company
• Advisory role as a sparring partner for executive management in all quality-related decisions
• Preparation and planning of ISO9001 certification
• Development and implementation of a KPI dashboard for quality activities for strategic steering
• Development and implementation of the strategic direction for the quality area
• Optimization and further development of the IQSoft quality management software to improve operational quality performance
• Successful promotion of a sustainable quality structure through regular workshops and training sessions
• Analytical problem-solving for quality and process challenges with a pragmatic approach (MSA/SPC)
• Planning and execution of internal and external audits
• Strategic supplier management
• Digitalization of the sampling process to increase efficiency

• responsibility for product, process & service quality: APQP, PPAP, FMEA, MSA, SPC, PLP including change management as well as NC & CAPA management.

• expanded QM system scope to include service; systematic review of all production control plans regarding reliability.

• logistics process optimization using Lean Six Sigma; concept development, rollout, and training of all responsible stakeholders.

• optimization of the complaint process with RMA, FA, and 8D process; reporting of quality performance.

• introduction & coordination of Standardized Supplier Quality Assessment (SSQA) for maturity assessment and further development.

• implementation of Brooks Process Certification with PQP, 5S, Safety, audits, and annual audit plan including follow-up actions.

• achievements: improved product & refurbishment reliability by 25%; reduced turnaround time for failure analysis by 60% and complaints by 55%; improved the SSQA maturity score by 2.8 points.

• Project manager in engineering, cost, quality, and scheduling
• Manufacturing of plastic interior trim parts

• Lead supplier development initiatives and strategic sourcing activities for critical manufacturing components
• Supplier Relationship Management
• Manage supplier qualification processes and establish long-term partnership agreements
• Drive procurement strategy alignment with business objectives and manufacturing requirements
• Supply Chain Optimization
• Oversee supplier performance evaluation and continuous improvement programs
• Cross-functional Team Leadership
• Coordinate cross-functional teams across R&D, procurement, and manufacturing divisions
• Quality Assurance & NPI
• Develop and implement supplier development roadmaps for NPI projects
• Cost Reduction Initiatives
• Establish procurement KPIs and supplier scorecard systems
• Risk Assessment & Mitigation
• Process Improvement

• Technically leading the commissioning and installation of SPP machines in collaboration with the local site teams, representing Amazon’s MSP (Mechatronics & Sustainability Packaging) team as a single POC. Cross collaboration and coordination with the external vendors for the successful execution of the project.
• Supporting the teams in technical analysis and RCA with continued focus on the volume steep ramp.
• Internal and external stakeholder management, complete project management, technical documentation, and strong communication.
• Collaboration with other european sites to share best practices.

• Function of environmental audits
• ISO 19011: Principles, planning and conduction of audits
• Meeting the requirements of ISO 14001
• Identifying and assessing the EMS requirements
• Conducting audit interviews
• Documenting audit results
• Function and tasks of ISO 14001 auditors
• Function and tasks of environmental auditors

• Independent qualification, assessment and development of international suppliers
• Planning and conducting process audits and potential analyses, as well as following up on derived actions
• Quality support for new projects from APQP and PPF/PPAP through to series production release
• Managing supplier escalations and sustainably securing quality and process deviations
• Managing interfaces between suppliers, Purchasing, Quality, Development and Production
• Deputy Head of Global Supplier Development

• Reviewing customer requirements (Quality Agreements) and implementing process and product quality measures within the approval processes (start-up support and initial samples according to PPF/PPAP) under APQP
• Main contact for quality-related issues at the site
• Implementing supplier quality support and development
• Ensuring compliance with all quality-specific requirements such as incoming and outgoing inspections, initial sample test reports, quality work instructions, inspection plans, and control charts
• Customer contact for complaint management and handling using Quality Core Tools: 8D report, 5 Why, Ishikawa analysis
• Active use of quality tools: control plan, PFMEA, inspection plan, EMPB, drawings, collecting and analyzing statistical data, R&R, MSA, SPC
• Conducting internal system, product and process audits according to VDA 6.3 and VDA 6.5
• Responsible for certification of the quality management system IATF 16949, occupational health and safety ISO 45001, and environmental management ISO 14001
• Supervising, goal-oriented leadership and development of a 10-member team

• Quality management
• Complaint management for battery systems
• PPAP preparation
• Audit support
• Handling customer complaints
• Creating 8D reports for Daimler, Volvo