Sensor Technology 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.

• Analysis of the existing CAN communication between microcontrollers
• Analysis of the sensors used and the measured values collected
• Planning the CAN messages for transmitting the measured values
• Iterative adjustment of the microcontroller code to the new CAN messages
• Cross-compilation from x64 to arm64

• Role: Simulation Engineer
• Environment: Mechanical Engineering / Visual Inspection
• Goals & Implementation: Simulation of photometric-stereo setups to determine the best positions for cameras and light sources for each specific part.
• Business Value: Enabled a low-cost and scalable solution for determining part-specific hardware setups.
• Tech Stack: Python, Blender

Project for a leading German email and cloud service provider: As Senior Frontend Developer and Technical Web Architect, I developed an international, multi-tenant white-label consent management layer for multiple brands.

Main tasks:

• Architecture and implementation with Vue 3, TypeScript, and Vite
• Development of automated tests with Vitest and Playwright
• Creation of brand-specific CMP configurations, CSS themes, i18n structures, and vendor settings
• Implementation of playout and initialization logic as well as backend integration
• Technical decision support, project, and code documentation

Impact: Replacement of external CMP solutions with a reusable and long-term maintainable in-house foundation for several international brands and rollouts.

Technologies: Vue 3, TypeScript, Vite, Vitest, Playwright, IAB TCF, Google Additional Consent, i18n, Git, CI/CD.

• Consulting and development of suitable communication concepts between S7-300 and S7-1500, taking the existing PROFIBUS infrastructure into account
• Technical support for connecting the S7-300 controllers to the existing recipe data block of the S7-1500
• Assisting in the development of the communication sequence for recipe access (read, write, acknowledge, status handling)
• Configuration of S7 communication (PUT/GET)
• Creation and adaptation of WinCC V7 scripts (C scripts and VBS scripts) for WinCC-based recipe management
• Development, optimization, and integration of recipe processes into the existing WinCC project structure
• Commissioning of the new communication interfaces and recommissioning of the recipe logic on existing systems
• Creation of technical documents: communication sequences, functional descriptions, commissioning documentation

PSA, Peugeot Citroën, France (10/2023 – 05/2024)

• Launch Manager for electrode production rolling lines
• Setup, modernization, and commissioning of cleanroom production equipment
• Management of a team of 15 Chinese technicians
• Recovery of a three-month delay and on-schedule delivery

• Led strategic software development of fusion algorithms for precise object tracking, trajectory prediction, and environment modeling based on multimodal sensor data (e.g., camera, LiDAR, radar, GNSS, IMU)
• Developed and implemented navigation algorithms for autonomous vehicles, including path planning, obstacle avoidance, and sensor fusion of visual, inertial, and distance-based sensor sources
• Automated extraction and training processes with CI/CD
• Developed and optimized data pipelines and processes in Microsoft Azure using Apache Spark, Databricks, and PySpark
• Developed and optimized embedded software for automotive control units
• Designed latency-critical software for real-time control in robotic systems with RTOS (freeRTOS, SAFERTOS)
• Used the Vector toolchain (CANdela, DaVinci, CANoe) for configuration and diagnostics
• Optimized existing data pipelines and processes (ETL, data warehouse, SQL)
• Developed and trained machine learning models using PyTorch
• Created deep-learning-based object detection and visual SLAM algorithms, trained on combined data from camera, LiDAR, and IMU sensors
• Implemented computer vision algorithms for object detection and classification in robotic systems using OpenCV and YOLO, utilizing synchronized image and depth data
• Implemented behavior-based control systems for autonomous robots using ROS2 Behavior Trees
• Performed testing, release, and integration of sensor fusion algorithms into automotive production programs
• Ensured adherence to proper software development processes and safety standards to guarantee high data quality (MISRA, ISO 26262, ASPICE)

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.

• Built a Trend-Scouting AI system to automate technology intelligence in power electronics and semiconductors, combining Azure OpenAI with LangChain, Scrapy-based web crawling for structured, noise-free data acquisition, and automated PDF reporting for internal R&D use. Developed a FastAPI-based (Uvicorn) web application to validate LLM outputs, test prompt strategies, and enable interactive system evaluation.
• Developed a real-time STM32 binary telemetry debugger with a PyQt-based GUI, featuring header-based frame synchronization, anomaly detection, template-driven payload decoding, time-aligned buffering, and live signal visualization.
• Developed an AI-driven power inductor designer using surrogate regression models for accurate electromagnetic and thermal prediction. Integrated multi-objective NSGA-II optimization to generate efficient, manufacturable designs.

• Development and maintenance of hardware drivers in C++
• Conducting unit and integration tests to ensure code quality
• Debugging and fixing issues with the hardware team and FPGA team
• Defining and developing software concepts and coordinating with the software architect
• Expanding test automation to improve efficiency
• Research and development of algorithms to improve existing codebases (runtime, memory usage, accuracy)

PHP and React redesign of a web-based ERP system.

• Development of the header and parts of the navigation
• Development of various modules in React, e.g. calendar, chat, and various tables

• 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

• Overall responsibility for strategic and operational procurement, Procurement Management (11 FTE).
• Further development of the procurement and procurement organization, including task and role model.
• Management of cross-functional special projects (e.g. value engineering, design-to-cost).
• Development and implementation of a holistic sourcing and procurement strategy with a focus on resilience, ESG, de-risking, decoupling and cost performance.
• Execution of a comprehensive procurement transformation with a new supply chain strategy alignment.
• Reorganization of the procurement team to improve efficiency through clear role allocation and relief from non-core and non-functional tasks.
• Professionalization of contract management processes and supplier development programs.
• Process optimization along the S2C and P2P chain, including standardization and automation in line with MDR (EU Regulation 2017/745), GxP compliance & quality management systems ISO 9001 and ISO 13485.
• KPI development and optimization of the KPI system for performance and efficiency measurement in critical paths and missing parts.
• Coaching the team in strategic procurement work, project management and procurement due diligence.
• Implementation of AI-supported tools for sourcing, spend analysis and inventory management to optimize inventory.
• Achieved inventory reduction of ~31% through professional inventory management.
• Management of two cost reduction (cost avoidance) programs with quantified results: ~50% reduction in manufacturing costs for one core component and ~64% reduction in material costs for the successor platform through redesign and category sourcing.
• Savings in the low double-digit million range versus the baseline.
• Material groups: contract manufacturing, PCBA, EMS, blower, silicone injection molding, power supplies, batteries, displays, hoses, masks, valves, foams, cables, sensors, wireless modules (2G–5G), telemedicine components, laboratory services.