Siemens Polarion Experts in Munich

Testing and verification of high-voltage systems

• Performed integration and system tests for control units in PHEV/EV vehicles using ECU-TEST (TraceTronic), Vector CANoe, CANalyzer, ETAS INCA, Tornado, E-Sys, and EDIABAS.
• Analyzed the interaction of high-voltage control units (including CCU, BMU, inverter, IPB, and IPF) and carried out software updates and flash processes to verify new software versions.
• Worked closely with software, system, and integration teams in an agile development environment to analyze issues and verify new software versions.

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

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.

• 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.

• Tested Body Control Module (BCM) software using dSPACE, Control Desk and EXAM in GHIL (Gesamt HIL).
• Led a team of 8 engineers and managed end-to-end software execution for each release, from requirement analysis to final validation and release.
• Coordinated with function specialists to analyse requirements and derive test cases.
• Developed test specifications and maintained bidirectional traceability between requirements and test cases.
• Automated test cases and built library functions using EXAM (Audi and VW customer-specific tool for test automation).
• Organised GHIL testing activities for both manual and automated test execution.
• Evaluated and analysed test reports generated from night runs in EXAM.
• Identified software and GHIL issues based on report analysis and created bug tickets for traceability.

• 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

• Hands-on ALM-solution configuration: process refinement (BPMN), workshops and stakeholder management

• Product development templates configuration and validation

• Full traceability and decomposition

• Tailored to fulfill 62304 internal SOP requirements and 29119

• Regular meetings, metrics and dashboards

• Work item workflows and link roles

• User roles and rights

• Prepared work instructions, training and rollout

• Tools: Polarion (Siemens ALM), MS Visio, MS PowerPoint

• Evaluation of RAG for legal advisory (build or buy)
• Evaluation and POC of RAG for an ERP time tracking module
• Consulting on foundation model selection
• Setup AI development environment (eliminating shadow AI)
• AI strategy consulting
• AI-assisted code creation and context engineering make change sets larger
• Strong software engineering expertise, code reviews and safeguarding through pipelines and domain-specific automated test cases

• Defined initial system and software architecture
• Implemented application modules and hardware control layers
• Built test and mock environments to support validation
• Developed hardware drivers and low-level communication routines
• Authored technical documentation for internal and external stakeholders
• Tools: C/C++, QML, Linux, Windows, Raspberry PI, MQTT, CAN, Serial

• Deployed and optimized Vision-Language-Action (VLA) and diffusion policy models on NVIDIA Jetson Orin and Jetson Thor, meeting real-time inference latency targets for humanoid robot control loops.
• Built TensorRT engine pipelines (PyTorch → ONNX → TensorRT) with INT8/FP8 post-training quantization, calibration dataset design, and quantization-aware validation, reducing inference memory footprint by over 3× on Jetson without accuracy regression.
• Developed custom CUDA C++ plugins and CUDA Graphs for latency-deterministic, real-time policy execution – meeting hard runtime and memory constraints on embedded GPU targets.
• Developed an inference engine for VLA models on top of llama.cpp bringing different VLA policies under single runtime, packaging each as a single self-contained GGUF that needs no Python or PyTorch.
• Profiled and tuned GPU execution using NVIDIA Nsight Systems and Nsight Compute, identifying CUDA kernel bottlenecks, memory bandwidth saturation, and SM occupancy issues across Jetson Orin and Thor compute profiles for cross-layer performance optimization.