Process Capability 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.

• Submitting PPAP document to customer for production approval and conducting PPAP/PPA audits at supplier for the confirmation of production for new product.
• Handling customer complaints and maintaining the customer part yield rate.
• Responsible for setting up operation standards and procedures for the process.
• Led cross-functional teams in root cause analysis investigations to identify the underlying causes of quality issues and implementation of corrective action and preventive action.
• Conducting process capability studies for critical and special characteristics.
• Coordinating cross-functional team to improve product quality and customer satisfaction score.
• Application of 8D, seven tools, five why or five why tree, Ishikawa, as well as new methods.

• Creation of medical templates according to ISO 13485:2016 and GMP / MDR.
• Design Qualification (DQ).
• Validation plan (VP).
• Creation of PFMEA / FMEA.
• Installation Qualification (IQ).
• Operational Qualification (OQ).
• Performance Qualification (PQ).
• Final report (AB).

• Automotive SPICE (ASPICE)
• Cybersecurity
• automation project management
• operational project execution
• requirements alignment with customers and stakeholders
• planning requirements for modernization
• time and resource planning

• Research/Thesis: "Reducing Service Level Agreement (SLA) Resolution Time Using Six Sigma Methodologies: A Data-Driven Approach to Process Optimization" (tools used: QFD, PDCA, TQM, DMAIC, Cpk, Cp).

• The LEAN spectrum: LEAN manufacturing and LEAN management
• The method: goals, concept, how it works, classification, scope, application areas, potential
• Strategic use: implementation and revitalization in the company, roles, tasks
• Operational application: methods and tools, auditing, controlling
• Management tools: LEAN models, implementation strategies, key figure systems
• Process leveling
• Value stream mapping
• Kaizen and KVP including PDCA cycle
• Quick problem solving including 8D method
• 5S and visual management
• Standardized work
• Poka Yoke including FMEA, Red Tag
• Kanban including control loops
• Setup time optimization including SMED
• Total Productive Maintenance including metrics, tracking systems
• Statistical tools: seven quality tools (7Q)
• Statistical process control including control charts and process capability analysis
• Quality circles