Embedded Systems Experts in Munich

• AI Integration (LLM & RAG): Designed and built an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data to automatically analyze technical documents and error logs.
• Design & Implementation: Designed a robust RS-232/UART communication interface for an SBC-based embedded device used to control medical shaker systems.
• Architecture & Protocol Design: Built a highly maintainable software structure (OOP, SOLID) and defined resilient, hardware-level communication protocols, including multithreading and advanced error handling.
• Quality Assurance & DevOps: Automated testing with xUnit, ran integration tests directly on the hardware target, and maintained technical documentation to strict medical technology standards via Azure DevOps.

Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps

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.

• 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.

• Owned requirements management for a connected mobile app integrating live vehicle hardware and embedded systems, from analysis through implementation (Requirements Management). App has grown to 500,000+ Google Play downloads and 5,800+ App Store ratings (4.4/5), ranking #170 in Germany's Navigation category.
• Steered digitalization and process optimization projects, coordinating between specialist departments, development teams, and external partners.
• Formulated requirements as user stories and acceptance criteria, accompanying implementation through testing and release.
• Applied genuine, practical AI Fluency to identify automation opportunities and accelerate delivery work. Applied SAFe and PRINCE2 methodologies; earned SAFe® 6 POPM and PRINCE2® Foundation certifications while in this role. Certified in Anthropic's AI Fluency framework.

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.

• Development and maintenance of IT architectures with embedded Linux systems.
• Designing, implementing, and optimizing backend applications and script-based solutions.
• Analyzing and resolving issues, including troubleshooting and user support.
• Developing and implementing security concepts for cloud solutions.
• Administering networks (DHCP, DNS, NTP, VPN).
• Technologies: Linux, PowerShell, Bash, Python, Ansible, Kubernetes, GitLab CI.
• Methods: Kanban.

• Executed standard/complex test cases using ECU-test and Python, improving test throughput by 30%.
• Performed validation and execution of ECU test cases on HiL benches for ADAS to ensure functional quality before release.
• Worked closely with customers to align test activities with project requirements and provide regular validation updates.
• Coordinated with subcontractors to track defects, ensure timely issue resolution, and maintain test quality.
• Ensured testbench stability and maintenance before executing test plans, identifying and resolving issues proactively.
• Developed Python-based automation scripts for reporting and workflow automation.
• Managed test issues and documentation via Jira in coordination with QA and development teams.
• Used CANPE for measuring signals of CAN, FlexRay, Ethernet, and IP using Vector CAN tools.

• 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.

• Planned and carried out black-box adversarial testing of traffic-sign computer-vision pipelines; created a threat model and attack-surface analysis for safety-critical scenarios
• Built a programmable hardware proof of concept using a holographic POV fan and a repeatable test harness to run real-time experiments and gather evidence for vulnerability assessment
• Measured misclassification across lighting, distance, and angle, achieving up to 90% untargeted misclassification; delivered reproduction steps, PoCs, and prioritized mitigations, and documented limitations and residual risk

• Verified internal and external semiconductor technologies to support the release of design packages.
• Developed automated testing environments using Bash and Python to streamline verification workflows.
• Created and maintained TCL scripts to configure ivars and automate testbench execution.
• Performed comprehensive validation of technology libraries and Verilog files.
• Used a range of industry-standard EDA tools, including Fusion Compiler, Innovus, ICV, Calibre (Mentor Graphics), and Seascape (Ansys).
• Conducted root cause analysis to debug and resolve issues across various tool flows.
• Defined and tracked QoR (Quality of Results) metrics to provide a high-level view of design package health.
• Optimized test runtime and resource usage to improve efficiency and turnaround time.

• Introduced an integrated approach for structural damage detection across concrete, steel, and glass using advanced technologies such as LiDAR and thermal imaging. Highlighted cross-material interactions to enhance diagnostics and enable predictive maintenance.

• Developed an NLP-based medical note simplifier that transforms complex clinical instructions into plain, child-level English. Applied prompt engineering with Flan-T5 transformer models to extract patient-relevant actions and rephrase them into clear to-do items. Built dual Flask and Tornado backends with a printable web interface.

• Management of internal and external optics, electronics, and software developers and the subproject managers throughout the entire development process up to handover to production
• Conducting RfP and contract negotiations with German, Chinese, and Japanese manufacturers and tracking the agreed deliverables
• Conducting quality gates throughout the development process
• Responsibility for meeting commercial, technical, and schedule requirements (resource and budget planning)
• Continuous monitoring of potential project risks during all phases
• Ensuring compliant development (RoHS & REACH) and documentation for worldwide CE marking
• Project status reporting to upper management and the company board
• Central point of contact for third-party contractors and their coordination in the project

• Industry focus: Automotive, IT, Chemicals, Insurance, IT Security
• Project planning & portfolio management with MS Project and cplace
• Implementation and operation of an Information Security Management System (ISMS)
• Process management (modeling & optimization) with BIC
• Delivery of automotive driver assistance systems (ADAS)
• Change management (evaluation to go-live)
• Migration projects and risk management
• IT development (SAP S4Hana, embedded software) using Scrum, Agile and Waterfall
• Data modeling (top-down, bottom-up, re-engineering)
• Master data management (infrastructure, interface, BPM, GPM)
• Customer relationship processes (CRM, ERP)
• Material data management (MDM) regarding consistency and quality
• Digital asset management (content, structure, standard metadata)
• Sales management (service policy, CRM, key account management, vendor management)

• Experience in testing of Body Control Module (BCM) using Dspace, Control Desk and EXAM in GHIL (Gesamt HIL).
• Led a team of 8 engineers and managed end-to-end execution of software for each release, from requirement analysis to final validation and release.
• Coordinated with function specialists (Fachabteilung) 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.