Hardware-in-the-Loop 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.

Temporary employment

• System black-box integration tests (BBIT, IVVQ): Execution of regression, release, confirmation and conformity tests for safety-critical braking control units in the railway industry
• Software Test Application & Integration: Runtime configuration of software components and libraries, validation of interfaces, configuration dependencies and component interactions
• Test Automation (FEAT Framework): Co-development and further development of an automated test framework for test execution, reporting and result analysis
• Functional Safety (SiL4, FuSi): Ensuring compliance with safety requirements, traceability and coverage as well as conformity with EN50126/28/29
• Test Automation for Communication Components: Configuration and validation of fieldbus (CAN) and Ethernet-based TCMS data communication interfaces (TRDP and CIP)
• Requirements Analysis & Shift-Left (PTC Windchill ALM): Analysis of software and system artifacts to identify gaps, ambiguities and redundancies early in the SDLC
• Test Design & Test Case Development: Derivation of test conditions and coverage strategies and implementation of data-driven test cases (DDT) including reusable test data fixtures
• CI/CD & Automation (Python, PowerShell, Jenkins, SVN): Automation of build, test and HIL deployment processes as well as integration into CI/CD pipelines
• Test Data & Configuration Management (XML): Maintenance and adjustment of XML test vectors and system configurations with automated integration into test environments
• Non-Functional Testing: Execution of performance and load tests to assess stability and system behavior
• Agile Development & Defect Management (JIRA, Confluence): Work in Scrum teams, test coordination, review of test artifacts as well as defect tracking and root-cause analysis
• Error Analysis & Debugging (CANoe, CANalyzer): Analysis of errors and message flows across multiple system levels (application to bus)
• Model-Based Analysis (UML, Enterprise Architect): Specification of SUT/SOW and support for systematic test control
• Process & Test Documentation: Creation of integration and test documentation according to internal quality and certification requirements

• Project: Thermomix Online Mock
• Manual execution of functional tests
• Implementation of automated end-to-end tests
• Execution of regression tests and analysis of results
• Further development of the QA website server using Express.js, Handlebars and Node.js
• Further development of the test environment
• Technologies: Agile software development Scrum, Robot Framework, Python, JavaScript, Git (GitLab), VS Code, Jira, Confluence, Express.js, Handlebars, Phoenix/Elixir

• 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

• Own the technical direction of several AI products in a product-owner capacity: shape roadmaps, guide the in-house development team, and provide oversight from concept through delivery.
• Act as the technical bridge between stakeholders, end clients, and vendors for a solutions provider (reseller and in-house products): evaluate vendor solutions against client needs, lead vendor discussions, and support sales and pre-sales with technical solution design.

• 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.

• 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.

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

• 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

Leading the end-to-end development of Edge AI-powered smart glasses for visually impaired individuals, aligning product vision with user needs and managing a cross-functional team of data scientists, Android developers, AWS engineers, and hardware specialists.

• Defined product roadmap for Edge AI smart glasses and MVP features through user research, stakeholder interviews, and competitive analysis, ensuring accessibility and real-world usability.
• Developed and validated a PoC for AI-driven cancer cell identification in PET/CT scans, collaborating with medical experts to optimize diagnostic accuracy and clinical relevance.
• Built and scaled a multidisciplinary team of 75+ engineers, interns, and designers across Germany and India, driving cross-border collaboration and iterative prototyping.
• Established strategic partnerships with NGOs, healthcare providers, and advocacy groups to embed inclusivity and patient feedback into product design.
• Drove hands-on hardware-software integration using Raspberry Pi and Jetson Nano of AI models. Initiated and nurtured relationships with suppliers, manufacturers, and ecosystem players to build scalable go-to-market plans.
• Owned critical product decisions, from prototype development to funding strategy, applying a data-informed and impact-driven mindset.
• Fostered a learning-focused culture by facilitating brainstorming sessions and continuous feedback loops between engineering and product.

Achievements:

• Public speaker: Auto.Ai 2025 (Berlin), Wearable technologies 2025 (Munich and Bangalore), MEDICA 2024 (Dusseldorf)
• WMF, Bologna, Italy (June 2024): Only AI startup to be selected from Germany as EBV hero to represent sprhava on global platform
• Medica, Germany (2024): Delivered a speech on AI smart glasses in world's largest Healthcare event.
• Wearable Technologies, Bengaluru, India (Dec 2024): I was a speaker presenting sprhava and its product.
• Venturise Global Challenge (GIM 2025, Bengaluru Palace, Karnataka): sprhava was selected as one of the 16 top startups (ESDM) to present on this global platform
• Wearable Technologies Conference 2025 EUROPE, Munich, Germany (May 2025): Delivered a talk on Edge AI at the Europe's biggest wearable tech event.
• InsurNext Köln, Germany (2025): sprhava was honoured with a booth from Cologne administration.

Task: Test tool development for Smart-Home IoT-based heating control Test tool development for Smart-Home HVAC heating and ventilation. Eliminating memory leaks in C/C++ within the CAN Analyzer application. Reviewing Python and Tcl/Tk code. Reviewing C-based simulator code for BOSCH Home Comfort cascade heating control using Visual Studio Code and Conan/Conda. Reviewing Delphi application: conversion to 64-bit. Reviewing PyQt6 user interface. SiL testing of domestic water heater control for memory leaks. Stability testing and continuous operation. Migration to Windows 11 24H2. Developing device connectivity with WinSock2 (WSAAPI, recv, send, select) for EMS/CAN IoT communication with C. Testing with virtual machines and Server Manager. Writing reports about the test cases. Logging with the RoboTT framework. Creating test procedure documentation with Docupedia. Bare-metal programming of embedded STM32 Cortex-M and simulation with Renode.io. In-depth familiarization with the SEGGER EmbOS firmware framework and its related system calls. Reviewing MATLAB/Sinumerik .m program files. Implementing redesigned OS schedulers in SEGGER EmbOS.Technologies: Embarcadero RAD Studio 10.2, Visual Studio Code, Sourcetree, Conan, Cmake, Conda, EmbOS, PyQt6, Qt6, Delphi VCL 32-bit, CAN, EMS, Powershell, MingW64, STM32 ARM-Cortex-M4F Renode.io, Windows Server 2022 Standard, RoboTT, IoT

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

• System and software architecture for the QIA-symphony Connect DNA-extraction robot in Life Science / IVD automation.
• Designed features and control logic for extraction, pipetting, lysis and eluate modules using C++, PLC/ST (Beckhoff IPC / TwinCAT 3) and model-based concepts.
• Delivered ISO 13485-oriented requirements, architecture, unit/integration/regression tests and DHF/VEP/VER/TCL documentation.
• Used Polarion, Jira, Confluence, Azure and AI-assisted documentation to improve traceability and engineering efficiency.

• Test controller unit
• Implement test environment
• Implement virtual nodes
• Commission CANopen network
• Define and automate test cases
• Design and implement LSS state machine
• Implement data exchange between tools
• Port requirements to vTestStudio in XML format
• Products: CANoe, vTestStudio, Playwright, Cypress, Robot, .NET
• Knowledge: CAPL, C++, CANopen, concept development, Python, JavaScript, XML, C#