Functional Safety Experts in Munich

• 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.

• Directed full lifecycle of embedded software projects including LiDAR, BMS, OCU, and Cybersecurity systems.
• Coordinated internal and external stakeholders including suppliers like Bosch, Bertrandt, Magna, Continental and IAV.
• Managed cross-country teams of 12–15 engineers, conducting project onboarding and role-based training.
• Implemented change control and risk registers for safety-critical automotive platforms.
• Oversaw project schedules using MS Project, JIRA, and Azure DevOps to ensure milestone alignment and transparency.
• Extensive hands-on expertise in test planning and execution for ECUs in compliance with Automotive SPICE (SWE.4–SWE.6) and ISO 26262.
• Led digital transformation project with a cross-functional team of 15+, ensuring successful integration of systems and workflows.
• Maintained project overviews and tracking in tools like Milestones (Daimler) and MS Project, and managed status reporting to senior stakeholders.
• Coordinated with third-party transformation partners and ensured timely delivery of decision templates and risk assessments.
• Applied PRINCE2 methodology for structured delivery; facilitated agile ceremonies and maintained Confluence-based documentation.
• Strong leadership in cross-functional teams and working in agile environments (SAFe, Scrum).
• Successfully led and supported IT and transformation projects, including those in regulated sectors (e.g., KRITIS or energy sector).
• Represented or supported overall project leadership in large-scale transformation programs.
• Maintained and updated complex project plans (Gantt charts, milestone tracking, and resource allocation).
• Coordinated workstreams and interdisciplinary teams; ensured timely delivery of all work packages.
• Acted as central communication point between project team, senior management, external vendors, and transformation partners.
• Prepared and delivered concise status reports, steering committee presentations, and decision memos.
• Identified project risks, maintained risk registers, and led mitigation planning.
• Assessed resource needs and supported reallocation based on project priorities and constraints.
• Proficient in JIRA, Milestones, Confluence, MS Project, MS PowerPoint, and Excel.
• Used both Agile (Scrum) and Waterfall (PRINCE2, PMI) methodologies.
• Created and tracked action lists, meeting protocols, and backlog items.
• Conducted critical analysis of project progress, resource bottlenecks, and deliverable timelines.
• Ensured alignment of transformation goals with enterprise IT architecture and business objectives.

• Engineering & Industry 4.0 / IoT projects with an AI system based on the Robust Design method for products & processes

• Development, implementation & introduction of the AI system Analyser® for Robust Design for products & processes

• AI and Industry 4.0 standard product for preventive and reactive quality and safeguarding as well as maintenance (Predictive Quality and Predictive Maintenance) based on Big & Smart Data

• 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: Arneburg BESS Station (30 MW / 78 MWh)

Responsibilities:

• Assistance for the Nidec site manager on site for all HSE-related matters
• Monitoring of all site activities in accordance with HSE guidelines and the Nidec's construction regulations
• Preparation of daily, weekly and monthly reports using HSE documents
• Management of Nidec's internal HSE reporting system
• Verification and validation of risk assessments
• Audits and inspections; participation in client meetings and implementation of HSE measures
• Document creation, verification of documents + RAMS
• Safety briefing / Toolbox meeting / Induction
• Participation in Nidec audits
• Verification of work suitability / RAMS and implementation of preventive measures
• Management of fire safety / Fire Response Plan (Fire Brigade)
• Organising emergency drills
• Compliance with HSE Plan and Nidec ERP
• Assistance with local legal requirements and ensuring compliance
• Coordination of services such as equipment hire, snow clearance and other services + their maintenance
• Local support on other matters

• Spearheaded the EU market entry strategy for L3/L4 autonomous logistics vehicles, driving the technological localization and deployment of the parent company’s smart robotics portfolio.
• Orchestrated technical alignment between top-tier autonomous driving suppliers across China and Europe, translating complex client requirements into precise engineering specifications compliant with EU standards.
• Cultivated strategic joint R&D initiatives with leading European universities, research institutes, and enterprises, accelerating the transition of cutting-edge robotic concepts into commercial products.
• Directed the end-to-end architecture of intelligent warehousing solutions, guiding cross-functional teams in optimizing hardware integration for autonomous vehicles & robots, and overall system performance.
• Led the R&D of high-fidelity simulation and AI algorithms using NVIDIA Isaac Sim & Lab, establishing robust "Sim-to-Real" pipelines to train and validate dynamic path planning optimization, intelligent obstacle avoidance, and complex navigation stacks prior to physical deployment.
• Maintained hands-on oversight of the core system architecture, focusing on bottom-level performance tuning, AI model inference acceleration with TensorRT/ONNX Runtime, and sensor integration.

• 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

• Project coordination: Managed timelines, deliverables, change requests (CRs) and resources, combining maturity gate reviews and program increments.
• Stakeholder management: Building strong relationships with both internal teams and external customers.
• BMW programs: BCP, BDC, MIC Next, IDC Evo, covering functional validation (including functional safety), product validation, homologation and compliance.
• Risk management: Proactively identified and resolved critical risks in software/product releases through cross-functional coordination to keep projects on track.

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

• Successfully integrated the Vector Flash Bootloader (FBL) for both NXP and TI SoCs within the Ford FNV3 and FNV4 audio amplifier projects.

• Achieved complete bootloader bring-up and ensured reliable operation, enabling secure and efficient firmware update capabilities.

• Developed a valid approach for running the Vector FBL entirely from RAM on the TI SoC, addressing unique architectural and memory handling challenges.

• Debugged and optimized NXP MCAL and TI MCAL configurations to ensure proper low-level hardware initialization.

• Managed specific constraints of DDR-only bootloader execution on TI SoC, including memory mapping and execution flow.

• Tools: Vector DaVinci Configurator, Vector CANoe

• Languages: C, Python

• Standards: AUTOSAR

• Pre-assessments and review of functional safety status for ADAS ECUs and body controller components
• Conduct functional safety audits
• Review the functional safety status of the E3 1.2 in a pre-assessment
• Document interviews
• Document findings and generate internal reports

Methods:

• ISO26262
• Automotive SPICE Level 2, 3
• Agile methods, SAFe

Tools:

• DOORS
• Enterprise Architect
• JIRA & Confluence
• IQ-FMEA
• Isograph

• Responsible of managing project business case and cash-flow (from 2023-10)
• Responsible of Housing Task Force that focuses on supplier as well as project management in terms of all aspects of a business, from timing to costs (2023-06 to 2023-10)

My responsibilities include the analysis and documentation of requirements. I spearheaded the implementation of a standardized requirements management system utilizing Atlassian Jira. Furthermore, I integrated feedback from various departments to drive continuous process improvement. I also provided guidance on the efficient use of these tools, including the strategic application of plug-ins to enhance functionality.

• Technical control, planning, and coordination of safety-related development activities for an embedded battery management system (ASIL-B to ASIL-D) across all project and series phases
• Coordination of interdisciplinary work packages between hardware, software, and system development as well as external suppliers for module and series management
• Management of development, evaluation, and maturity level assurance of safety mechanisms (diagnosis, monitoring, degradation) for series release
• Active risk, problem, and escalation management when facing target conflicts between safety, cost, schedules, and series readiness
• Stable, release-ready series safety architecture with no major findings
• Significantly increased planning and decision-making security in module and release committees
• Sustainable improvement of coordination and control processes between system, HW, and SW teams