AUTOSAR Experts in Munich

• 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.

AI-driven automation of purchasing on a printing company's website, including selecting delivery times, order options, ordering, payment, and uploading print data from the Lumiz Cloud.

REPSEM/REPKON-Energetic (Mechanical Engineering) – General Manager. Start-up company. Setting up the company and its structure. Creating processes, preparing document templates, planning workflows, hiring employees to meet company goals. Training employees and introducing them to the first company project. Project acquisition, meetings about projects with companies. Expanding company goals and strategy. Visiting companies for partnerships. Leading the first company project together with the PM.

• Collaboration with MB (Sindelfingen), NVIDIA (Santa Clara), MBRDI (Bangalore)
• Structure and signal modelling in Rhapsody
• Architectural decision records and requirement reviews
• Technologies: Confluence, Rhapsody, JIRA, DNG, Jama, Slack, GitLab, AWS CDW, Bazel, Docker, QNX

• 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

• 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

• Tested passenger car opening handle at system level integrating hardware, software and mechanics
• Built and provided complete test equipment for system testers using Arduino boards, Saleae Logic analyser, oscilloscope, multimeter, RLC meter, programmable power supplies and function generators
• Developed system testing concepts and constructed manual system test bench
• Supported system testers with hardware and software tools
• Products: BMW XNF, Rolls Royce, Audi eRing, JLR (Jaguar-Land-Rover)

• Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
• Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
• Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
• Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
• Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)

• 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.

• Project: Sensor fusion application for traffic participant detection
• Software frameworks: C++ (11,14), Python, Visual Studio, MTS, Qt, GitHub, Jenkins, JIRA, Confluence, Conan, CAN, RTOS, DOORS, CMake
• Refactored and adapted sensor fusion algorithms by processing sensor data (camera and radar) for ACC and EBA as per requirements
• Handled system test issue reports in JIRA
• Tuned Kalman filters and introduced new features to enhance tracking
• Adapted architecture, detailed design (UML) and simulation tool (Qt)
• Conducted unit testing, code reviews and static code analysis in compliance with MISRA standards
• Conducted regression testing to validate software, involved in software releases (CI/CD), KPI evaluation by testing NCAP scenarios
• Flashed ADAS software to target vehicles, used UDS protocol and OBD-II tools for diagnostics and verification