AutoCAD Expert

• Technical management of parallel rooftop PV projects (Type A/B) from project planning through construction to completed plant certification
• Analysis of project requirements based on on-site inspections, planning reviews and evaluation of tender and project documents, and preparation of the findings for the internal planning department
• Derivation of work packages and milestones for each project, including structured filing in the client’s project documentation (SharePoint)
• Coordination of the planning phase between planning, procurement and executing trades
• Preparation of specifications and bills of materials as the basis for preparing quotations, and monitoring the timely submission of offers
• Coordination and monitoring of the construction phase, including schedule tracking and ensuring implementation in line with the plans
• Preparation and continuous updating of project schedules and project budgets across all projects
• Tracking of milestones, work packages and project progress, as well as early documentation and escalation of schedule and budget deviations to the overall project management
• Preparation of technical analyses of existing and planning data for each plant as the basis for the entire certification process
• Review, verification and compilation of all certification-relevant evidence: technical data sheets, manufacturer approvals, component documentation, test reports, type certificates and simulation results
• Assessment of the completeness and compliance of manufacturer documentation with applicable standards, identification of missing evidence, and requesting and tracking missing documents from manufacturers and installers
• Preparation and technical review of declarations of conformity for the grid connection of the plants
• Preparation of complete plant certification documentation for Type A/B in accordance with the applicable VDE application rules, the grid operators’ technical connection requirements (TAB) and the requirements of the certification bodies
• Review and documentation of protection concepts, as well as definition of the certification scope for each plant in technical coordination with the grid operators
• Submission of documents to grid operators and accredited certification bodies, follow-up on queries through final approval, and deadline management across parallel procedures
• Management of interfaces between the client, manufacturers, installers, grid operators and certification bodies, as well as complete project documentation with status overviews, communication logs and approval documents

Project goal: Carrying out system tests and validating industrial communication and control systems, including requirements definition and verification.

Responsibilities:

• Test planning, test execution
• Test strategy, test cases, and test specifications
• Requirements analysis
• Ensuring traceability between requirements, test cases, and defects
• Carrying out regression and integration tests
• Defect analysis
• Simulation and validation
• NetSniffer Wireshark
• Supporting test automation (Python, CI/CD)
• Reporting
• Stakeholder coordination and agile collaboration (Scrum / SAFe / Kanban)
• V-Model
• CI/CD automation with Python, Groovy, and frameworks (Selenium, PyTest)

Technologies:: CAN, Modbus, Ethernet, PLC, PROFINET, Codebeamer ALM, Scrum, SAFe, MS Teams, Git, CI/CD with GitLab CI and TeamCity, Windows Batch, FAS, Wireshark, Python, Enterprise Architect (EA), AI tools (e.g. ChatGPT, Microsoft Copilot), VS Code, Tia Portal, SCL, Python (Selenium, PyTest)

• Project management for software projects in the brake control unit area with a focus on deadlines, costs, and quality.
• Planning, control, and reporting of project progress, risks, dependencies, and work packages.
• Planning and tracking of work packages using PTC Integrity.
• Organizing and moderating customer meetings as well as coordination with internal departments, external suppliers, and third parties.
• Creating and maintaining project documentation according to Automotive SPICE requirements as well as management reporting.

• Team leadership: Prioritization and coordination of four cross-functional teams.
• Platform strategy: Development and implementation of strategies to optimize existing IT platforms.
• Stakeholder management: Active management of expectations and communication with internal and external stakeholders.
• Program and innovation management: Prioritization and coordination of cross-department projects as well as innovation initiatives.
• Product Owner consulting: Advising Product Owners with a focus on product development and continuous product improvement.
• Organizational development: Improving communication and decision-making structures across all organizational levels.
• Change management: Implementing best-practice change management methods to ensure continuous optimization and innovation.
• Quality assurance: Ensuring high quality standards in processes, services, and deliverables.

• I tailor my consulting services to individual customer requirements through innovative approaches, with the aim of achieving sustainable optimization potential.

• Consulting based on ready-made concepts and solutions, or a focus on short-term one-off effects, is not consistent with my approach to responsible and sustainable consulting.

• An analysis of the current situation forms the basis for my consulting approach and specific recommendations for action. Together with you, I develop and define clear goals for the successful implementation of suitable measures for your individual situation. Ongoing reviews ensure that goals are achieved transparently and sustainably. The customer benefit is always at the center of my work.

• Responsible for new Substations Construction for Data Center
• Overall Management with clients
• Interface Management with Stakeholder and contracted EPC Contractors
• Construction Management
• Contractor Management
• Project Coordination
• Project Delivery Management
• Interface Management with internal Parties
• Interface with Local authorities
• Value multi Million USD

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.

• Supported environmental, quality and safety management systems in industrial waste and wastewater operations.
• Monitored environmental compliance with internal procedures and environmental regulations.
• Evaluated wastewater treatment processes to improve environmental performance and operational efficiency.
• Assisted in investigating process deviations and implementing corrective actions.
• Collaborated with operations and laboratory teams to optimize treatment processes, quality assurance measures, and environmental performance.

• Support for one of the largest logistics service providers in handling ServiceNow tickets in the areas of SAP MDG, Business Partner (BP), customer and supplier master data
• Technical analysis and resolution of tickets through in-depth review of various database tables
• Creation and maintenance of accounting clerks in the system
• Deactivation of company codes using transports
• Carrying out mass changes with LSMW (Legacy System Migration Workbench)

E-Drive Control

• Performed Model-Based Development (MBD) of application software (ASW) functions for E-Drive control using AVL & customer toolchains
• Translated product requirements into scalable, high-performance Simulink models for high-visibility projects, ensuring compliance with V-Model, AUTOSAR, ASPICE, ISO 26262, MAAB, MISRA, MXAM
• Automatic code generation (.c, .h, .arxml) using Embedded Coder
• Analyzed and derived system and ASW requirements, along with test cases, using PTC Integrity, CodeBeamer & PikeTec TPT
• Performed Verification & Validation of ASW using MIL/SIL/HIL, model/code coverage, exception report, req. & test case traceability
• Reviewed requirements, test cases and ASW, providing feedback to testing & development teams to drive bug fixes & improvements
• Created signals in Visu-IT-ADD & Vector DaVinci Developer Classic
• Documented ASW functions using Visu-IT-FunDoc & customer tool
• Updated enterprise architecture (EA) framework for system & ASW
• Created whitebox specifications for Inverter subsystem using Visio
• Commissioned & tested Inverters on Power HIL
• Mentored colleagues to foster collaboration & knowledge sharing

• Topic: Object Detection and Semantic Segmentation for (AUV) Systems using Transformer-Based Vision Models and Sensor Fusion.
• Designed and implemented an end-to-end multi-sensor fusion perception pipeline (Camera, LiDAR, IMU) in ROS
• Developed CNN-based Machine Learning model (YOLOv8) and Transformer-based vision models for real-time object detection
• Processed and clustered 3D LiDAR point clouds using DBSCAN, RANSAC, and voxel grid filtering to enable robust object localisation in noisy environments.
• Designed Bayesian Network models (GeNle) for probabilistic reasoning and sensor-level decision fusion under uncertainty.
• Applied Kalman filtering for sensor state estimation, temporal alignment, and smooth object tracking, reducing false positives in safety-critical scenarios.
• Evaluated system performance under realistic driving dynamics, improving tracking stability and overall perception robustness.
• Built deep learning pipelines for training, validation, and performance evaluation of perception models using sensor data.

The project covered the introduction of SAP S4HANA including EWM. The customer manufactures tools for the international market, with 300 production orders and 2,000 shipments to be processed every day. The project started with the "Explore phase," where the target business and SAP processes were defined, and ended with reaching the productivity goals with S4HANA. My role was Key User Trainer and optimizing the live processes.

• Revenue €90 million, 50 employees

• Industry: Shipbuilding, marina

• Temporary assignment as Head of PMO

• Recording and validation of PMO processes

• Creation of capacity planning through 2032

• Evaluation of standard preservation processes, including VSM and macro mapping

• Creation of planning tools for project coordinators

• Participation in coordination meetings with Meyer Werft

• Data preparation for the monthly review

• Contribution to the tendering strategy for new ships

• Creation of roles and responsibilities and job descriptions for project managers and project coordinators

• Project management for the Disney Adventure cruise ship

• Re-design of the reporting tool

• Creation of a planning tool for project coordinators with a planning horizon through 2032

• Design of an on-call service, including work instructions

• Creation of calculation models for quotations

• Project management for Disney Adventure

• FTTH construction consulting
• Construction management
• Project management
• Consulting