codebeamer Experts in Germany

• Development of the unified CARIAD E3 2.0 software platform for future mobility
• Stakeholder management
• Synchronization and alignment with Solutions (UX, Security, Data Product & Mobility Services, Architecture, Software Product, Integration)
• Workshop and migration management
• Conducting risk matrix analyses
• Tools used: Jira, Confluence, Codebeamer

• Ran a group-wide steering committee to set strategic direction for a turnaround program. Planned delivery to secure go-to-market and investor milestones
• Prepared the project structure and supplier management process for an ACQ.4 Automotive SPICE audit. Built dry runs and compiled evidence with the team, resulting in a successful CL2 assessment
• Synchronized Automotive SPICE activities with the organization's SAFe rollout by screening base practices and agile artifacts for overlap. Avoided approximately 30% duplicate effort

• Transformation Consultant, Release Train Engineer and Program Lead – responsible for the new Way of Working in the Open Gateway Program; optimizing the flow of value by ensuring the ART events and artifacts function correctly, including the Open Gateway Release Train Kanban, Inspect & Adapt (I&A) workshop, ART Sync Meetings, and PI Planning to ensure stakeholder alignment;
• Coaching and guiding the Product Owners, Business Owners, Product Management, Program Managers, Leaders, Tribe Architect
• Coaching the OGW Core Team (cross functional) within the OGW Program and developing optimization measures in their transformation process;
• Facilitating and working actively towards the creation of the Definition of Ready (DoR) and the product Definition of Done (DoD);
• Introducing knowledge sharing workshops and grow the agile engineering practices;
• Hold Team lift-off workshops;
• Help the group to become a team by providing system team coaching and multifunctional learning;
• Facilitate, decision making, feedback loops for learning new skills and practices

Tools: JIRA, Confluence, MS Teams, Miro

• Developed model-based software for hydrogen tank control units using MATLAB/Simulink, aligned with ISO 26262 functional safety requirements
• Performed system integration and software verification across MIL and HIL environments using dSPACE and Vector tools
• Defined software architecture (SADS) with interface specifications for CAN, analog, and digital communication protocols
• Generated production-ready embedded C code using Simulink Embedded Coder; created and maintained A2L calibration files with CANape
• Designed and executed MIL/HIL test cases ensuring full coverage of functional and safety requirements
• Implemented CODESYS PLC applications on IFM ecomatController; applied CAN and Modbus TCP/IP communication protocols
• Contributed to HMI/UI development using Qt/C++ on Linux (Qt Creator)
• Applied agile Kanban workflow with Git-based version control (Bitbucket)

Tools: MATLAB, Simulink, CANape, CANalyzer, PCAN-View, Embedded Coder, CODESYS, TTC2038/PXROS, Codebeamer, Jira, Git

• Developing a model-based AI where natural language is interpreted as formal relations.
• Natural language terms are not considered rigid but fluid and can be negotiated in a context so meaning resolves by iteratively specifying.
• Develops all kinds of model solutions.
• Backed by natural language and data annotation.
• Requirements to code and other solutions.

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

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.

• Standards research "product- / project-related for speed-controlled pumps".
• Supporting internal development departments with standards-related questions nationally and internationally.
• Creating and maintaining internal standards and test plans.
• Deriving technical requirements from normative specifications.
• Cooperation with authorities.
• Coordination with associations and organizations/authorities (VDE, UL, notified Body EMC-Test).

• Managing the Systems Engineering department with more than 30 employees in 3 teams
• Providing operational support in defining and implementing SE processes
• Analyzing existing approaches and identifying opportunities for improvement
• Planning resources and determining future staffing needs
• Preparing process and role descriptions
• Coordinating cooperation with other departments
• Planning and coordinating employee training (MBSE, RE, DOORS)
• Systematically developing objectives and templates for implementing efficient Requirement-Based Systems Engineering for new development projects
• Building and maintaining model structures in DOORS
• Creating the requirements management plan and user documentation
• Implementing special approaches using DXL
• Environment and applications: DOORS, Excel, Power BI

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)

• Analyzing and evaluating established corporate tools (Jira, Confluence, MS Teams, MS Planner, MS Project)
• Process redesign, transition support for external backend service providers
• Developing target agreements for the production plants involved worldwide
• Coordinating cross-functional requirements from plant teams and creating timelines with dedicated milestones (Gantt charts, etc.)
• Redesigning the project scope in Jira/Confluence and training in agile methods
• Carrying out requirements analyses and detailed development according to the V-model (project management)

• Technical lead of diagnostics activities for eDCT transmissions and drive systems in the area of hybrid (HEV), mild-hybrid (MHEV), and plug-in hybrid vehicles (PHEV)
• Responsibility for the development and validation of DTC strategies (OBD / EOBD) for markets in North and South America and the EU
• Coordination between interdisciplinary teams (system development, software, safety, calibration, after-sales)
• Creation and maintenance of diagnostic specifications (DID, DTC matrix, snapshot, freeze frame) according to STLA standards
• Support with troubleshooting, validation tests, EOL processes, and internal audits
• Technical interface to suppliers (Bosch, Valeo, etc.) in the area of actuators, sensors, and electric pumps
• Creation of diagnostic RFQ

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

• Developed lateral-safety steering functions across two service packs, serving as Product Owner for SP-2021 and Function Developer for SP-2025
• Defined and maintained system requirements, coordinated validation and testing, and ensured seamless integration into series vehicles across 29 BMW, MINI, and Rolls-Royce models
• Drove a 62.5% reduction in Lane Keeping Assistant PPH (Problems Per Hundred) count from 9.6 (2023) to 3.6 (2025) in the US-IQS (Initial Quality Study) by enhancing function performance, contributing to a 7-position improvement in BMW’s overall brand ranking
• Managed collaboration with two main suppliers, resolving technical challenges and securing on-time milestones
• Delivered safety functions that supported multiple NCAP programs (EuroNCAP, ChinaNCAP, KoreaNCAP, JapanNCAP), with all models meeting or exceeding targets