codebeamer Experts in Germany

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)

• 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.

• 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

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.

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

• Customer interface and relationship management
• Requirements management and work coordination
• Technical and functional support focusing on automotive Ethernet

• Creation of automated tests.
• Extension of the functionality of the enterprise BI data warehouse.
• Design and development in SQL and PL/SQL.
• Data modeling as well as performance measurement and tuning.
• Creation of and contribution to user stories and concepts.
• Technical environment: Windows, Linux.
• Database: Oracle 19c incl. DWH, CDB, PDB.
• Tools: Confluence, CVS, Eclipse, Git, GitLab, Jira, N4, PL/SQL, SQL Developer, utPLSQL.

I implemented a Zero-Trust architecture for robust, military-grade maritime container mini data centers based on VMware & Tanzu to support containerized GIS workloads for ground forces. The main focus was on securing communications, workload protection, and data access in contested electronic battle environments affected by jamming, interception, signal manipulation, and constantly changing operational conditions. I designed and architected use cases so that every element of workload, identity, and system could continue to operate independently and securely even in degraded or disrupted scenarios. In parallel, I defined the enterprise and solution security architecture with LeanIX, Bizzdesign, and HOPEX as enterprise architecture, repository, and governance platforms to maintain architecture inventory, relationships, traceability, target pictures, and security governance in complex environments. For the architectural designs, I used Sparx Enterprise Architect to describe formal architecture views, interfaces, trust boundaries, and system architecture in both IT and OT environments. IriusRisk was used for threat modeling of the solution to identify architecture-driven risks, derive security requirements, and detect countermeasures and design gaps directly from the solution models. Risk and compliance management was supported with Archer. Architecture decisions, control gaps, and operational risks were translated into controlled governance and auditable compliance measures. For documentation, collaboration, and visual design, I used Confluence to maintain Architecture Decision Records, Security Blueprints, and workflows. I used Lucidchart and draw.io to create design artifacts tailored to stakeholders. I also defined OT security concepts with support from electrical and mechanical engineers in the areas of oil, vehicle onboard systems, rail, power plants, pharma, gas turbines, and nuclear technology. I created the end-to-end OT security strategy, starting with global policy, developed into standards and procedures, and finally aligned with Bell-LaPadula, Purdue Model, SABSA, TOGAF ADM, CENELEC 50701, IEC 62443, and NIST standards. In addition, I worked with engineering team leads to identify critical KBP assets and place them under protective measures that segmented SCADA, PLC, and HMI assets. I drove collaboration between Security, IT, and OT teams to create standardized workflows and use cases for the OT security solution catalog, while integrating Defense-in-Depth and Zero-Trust principles into operational environments. A key part of my work was integrating multidisciplinary engineering, security, and operations stakeholders into a unified security blueprinting strategy and ensuring that architecture, threat modeling, governance, and documentation were technically strong and operationally practical.

• 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

• 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)

• 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

• 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

• Consulting on the optimization of the system development process for MB.OS and introduction of MBSE on a central platform (25% increase in efficiency)
• Planning and conducting ASPICE assessments, analyzing the results, and creating a coaching strategy
• Training more than 10 project teams in systems engineering and software development methods
• Ensuring compliance with relevant development guidelines and processes

• Planning and controlling qualification tests and the delivery of software components (SWC)
• Consulting and support in stakeholder management
• Checking work packages for compliance with ISO 29119
• Single Point of Contact (SPOC) for the Porsche and Bentley brands
• Regular reporting to the customer and internal management
• Tools / processes: KPM, Azure DevOps, JIRA, Confluence, MS Project, ISO 26262