Test Bench Experts in Germany

• Led the hardware development and validation of a safety-critical 400-V battery management system (BMS) for the TOGG SUV program; performed system architecture reviews, schematic validations, EMC and reliability tests, and root cause analyses in compliance with relevant automotive standards (ECE-R10, CISPR25, ISO-26262). Coordinated cross-country EU engineering teams, customer reviews, and technical documentation to deliver a production-ready, validated system.

• Architected and integrated 22 state-of-the-art ADAS validation vehicles for BMW ADCAM and LIDAR programs at Magna Electronics; synchronized up to 26 heterogeneous sensors (LIDAR, RADAR, cameras, GNSS/INS) using PTP-based timing architectures. Defined the system architecture, HW/SW interfaces for hardware-in-the-loop (HIL) rework, sensor integration strategies, and data acquisition frameworks. This enabled scalable vehicle-level validation, improved validation efficiency by 25%, and reduced project costs by €1.45 million.

• End-to-end validation and integration of automotive radar platforms for a Daimler project at Continental. Developed automated open-loop hardware-in-the-loop (HIL) environments to accurately test target tracking KPIs, field-of-view limits, and thermal and voltage-related ECU state machines. Skilled use of a highly complex toolchain consisting of CANoe, Lauterbach Trace32, RADAR target simulators, and EMC shielding chambers for RF and system validation. Synchronized global, interdisciplinary teams to speed up troubleshooting and close critical technical gaps.

• Reconstructed and validated the product architecture of an electromechanical e-bike by integrating and troubleshooting critical subsystems (BMS, motor control, sensors, HMI, electronic locking systems). Built a comprehensive system-level test bench for functional testing, fault reproduction, and performance analysis; coordinated suppliers and implemented corrective actions to improve reliability and traceability.

• Defined the system architecture and validation strategy for a LIDAR platform developed in cooperation with Elmos Semiconductor; evaluated optical measurement concepts, SPAD detector integration, and system requirements, and created technical recommendations for product development and verification.

• Developed LabVIEW-based automation and verification software for a high-precision hydraulic and electromechanical test system for FTE Automotive; integrated NI DAQ hardware for high-frequency real-time capture of physical measurements. Developed automated test sequences, programmable endurance tests, troubleshooting routines, data logging, and analysis tools to improve test efficiency and traceability.

• Successfully delivered full engineering life cycles for well-known industrial customers (Magna, Continental, Farasis, FTE Automotive, BMW, Daimler, TOGG) – from requirements engineering and proof of concept to system integration and validation, technical documentation, supplier coordination, and user training.

• 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.

In this project, I was responsible for the design and implementation of a new, modular, and highly scalable test bench platform for an automotive supplier. My focus was on developing a robust system architecture and programming the associated software, with consistent use of UML modeling throughout. This structured approach made it possible to greatly increase the reusability of individual LabVIEW test modules and to significantly reduce development time for follow-up projects. I also integrated modern automotive standards such as CAN FD, LIN, and safety requirements, which made the solution future-proof.

Technologies: LabVIEW, Visio, UML, CAN FD, LIN, DMM, Safety, image processing, project management, HMI, C#, C++, Python, Rust, CI

• Own full-stack development of an AI-native enterprise platform built on TypeScript, React, Vite, tRPC, Hono, and PostgreSQL, delivering AI-powered consulting workflows to B2B clients.
• Designed and shipped a multi-agent AI system using ReAct framework and Claude skills-style workflow patterns, including an intelligent PM assistant with rich system prompts, slash commands, tool integrations, and streaming chat UI.
• Architected an LLM evaluation framework: rubric-based LLM-as-judge, golden datasets, regression testing, and automated quality gating — ensuring consistent AI output quality at scale.
• Integrated LangFuse for end-to-end LLM tracing, conversation replays, and evaluation pipelines, enabling data-driven prompt optimisation that reduced token costs and response variance.
• Built with Drizzle ORM, pgvector, and knowledge graphs for structured data access, semantic search, and relationship-aware AI reasoning across the platform.
• Led TanStack React Query migration across the application — replacing manual state management with centralised caching and automatic refetching, reducing data-fetching boilerplate significantly.
• Practiced AI-native development throughout: Claude Code, Codex, Perplexity SDK, and LLM-assisted testing across the full development lifecycle. Deployed on Vercel + Azure ACA with Biome for linting/formatting.

• Engineered and validated a full-vehicle thermal management system in MiL simulation, achieving 95% correlation accuracy against real-world vehicle measurements, directly supporting virtual calibration and reducing dependency on physical test benches.
• Led end-to-end Model-in-the-Loop (MiL) simulation development using AVL CruiseM and MATLAB/Simulink, covering system architecture, parameterization, and validation.
• Acquired and analyzed vehicle sensor measurements (temperature, volumetric flow rate) using dSpace MicroAutoBox (HiL) and IPEmotion, translating raw data into actionable calibration insights.
• Calibrated and optimized critical actuators and thermal components - pumps, valves, electric heaters, heat exchangers, and refrigerant circuits and identified/integrated previously missing physical behaviors to close the gap between simulated and real vehicle performance.
• Designed and tuned an integrated actuator controller with precisely calibrated parameters, producing a high-accuracy virtual model adopted for downstream development use.

• 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

• Ensuring system maturity and operational readiness across the entire lifecycle of automotive products in line with ASPICE and internal quality processes
• Analyzing system behavior and system performance to identify inefficiencies, integration issues, and gaps in diagnostic coverage
• Supporting project milestones in the development cycle by validating system interactions, configurations, and boundary conditions
• Deriving test specifications from software and system requirements
• Implementing test cases with RobotFramework and Python
• Close collaboration with system, software, hardware, and calibration teams to ensure stable and high-performance system behavior before release
• Performing end-to-end system performance analyses using endurance tests and automated evaluation of results with Python and RobotFramework
• Introducing KPI-based system monitoring and performance analysis, as well as building automated evaluation and feedback pipelines
• Organizing and moderating cross-functional debugging and integration workshops
• Successful integration and validation of system and software components for series truck platforms, along with lasting improvements in performance quality, test quality, and integration stability

• Development and validation of control concepts for grid stabilization with MATLAB/Simulink.
• Modeling of converters (VISMA), grids, and loads to study frequency and phase behavior during load steps.
• Analysis of the influence of inertia, damping, and controller parameters on stability, power output, and ROCOF.
• Development of adaptive control strategies to improve synchronization and dynamic grid support.
• Creation of automated simulation and evaluation tools to assess different scenarios and parameters.

Project: Intelligent Light Communication Software — Audi

• Analysis and clarification of system requirements with the customer and translation into software architecture and design decisions
• Architecture and implementation of CAN FD and SPI communication on NXP S32K312
• Design and development of flash bootloader, flash driver, and boot manager for secure OTA-capable updates
• Configuration of the AUTOSAR BSW architecture (Dcm, Dem, NvM, BswM, Os, Mcu, Port, Com stack, Rtc) for portability and maintainability
• Design of the crypto stack (Csm, CryIf, Crypto) for secure flash and diagnostic data; integration of the NXP HSE core and wrapper layer
• Integration of customer-specific modules (Sfd, Ivd, Npm) into the Vector AUTOSAR stack
• Definition of the memory architecture: Memmap, CMake, and linker script configuration
• Leading board bring-up for the Audi light demo platform; implementation of diagnostic routines and identifiers

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

• AI-assisted creation of test cases and test data
• Creation of test cases based on requirements
• Execution of manual tests
• Defect documentation, retesting and tracking

Technologies & Tools: SCRUM, Jira, Confluence, Zephyr Scale

• Environmental testing, shaker testing up to 100G (Acutronic, LDS, RMS, Vibration Research)
• Testing device and temperature (Vötsch VC³7060, Weisstechnik)
• Analysis of shaker, temperature and shock tests and documentation of the results

• Retrofit of 10 existing distribution centers with ASML (automated scan manual labelling)

• Automation of conveyor technology at the induct with the goals of improving ergonomics, reducing costs, and increasing throughput

• Adaptation of existing MHE (material handling equipment)

• Supplier management (internal and external)

• Construction site coordination

• Detailed planning and execution of the implementation concept

• Acceptance tests for machine safety, Machinery Directive

• Planning and execution of IOQ, SWEH, SAT, Launch

• Ensuring compliance with costs, deadlines, and scope

• Risk management

• PM coaching of the project team and suppliers

• Leading multiple international teams

• International communication/coordination of sites (Delivery Stations AMZL, suppliers), RME, Ops, Safety, PMO, and Quality

• Methods and tools: Interim project management, project management (classic, agile, hybrid), change management, V-model, Scrum, Ozark, Chime, PtW, RightCrowd, stakeholder management, scheduling, cost planning, resource planning, controlling, conveyor technology, logistics, mechanical engineering, construction site coordination, claim management, requirements management, specifications, functional specification, supply chain management, risk management, FMEA, lessons learned, supplier management, team leadership, communication (international)

• 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