Autonomous Driving Experts in Munich

• 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.

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.

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.

I help leadership teams turn the potential of AI into measurable business results — fast, pragmatic, and with people at the core.

As Co-Founder of Infinite Mind, I work with CEOs and innovation leaders to identify high-impact AI opportunities, design actionable solutions, and support adoption across the organization. Our focus: driving productivity gains, smarter workflows, and scalable value.

Over the past ten years, I've worked at the intersection of Digital Transformation, Data, and Machine Learning, advising companies in software, high-tech, media, and insurance. I’ve led large-scale initiatives, including the group-wide adoption of Generative AI, and understand the strategic and human challenges of driving change at scale.

I combine a technical background in machine learning (M.Sc. Electrical & Computer Engineering, TUM) with a broader perspective shaped by degrees in Physics and Philosophy (LMU Munich). In addition to my consulting work, I’ve co-founded a tech-enabled charity and supported early-stage founders as a business coach.

If you're looking to go beyond the AI hype and make it actually work in your business — let’s talk.

• Managing the Systems Engineering department with more than 30 employees in 3 teams
• Providing operational support in defining and implementing SE processes
• Analyzing existing approaches and identifying opportunities for improvement
• Planning resources and determining future staffing needs
• Preparing process and role descriptions
• Coordinating cooperation with other departments
• Planning and coordinating employee training (MBSE, RE, DOORS)
• Systematically developing objectives and templates for implementing efficient Requirement-Based Systems Engineering for new development projects
• Building and maintaining model structures in DOORS
• Creating the requirements management plan and user documentation
• Implementing special approaches using DXL
• Environment and applications: DOORS, Excel, Power BI

• 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.

• Co-led complex, cross-functional projects across Design, Engineering, Manufacturing, and Safety, delivering innovative products from concept through production.
• Drove agile development through structured sprints, proactively resolving blockers to ensure on-time delivery of high-stakes milestones.
• Collaborated with internal teams and external stakeholders to align project goals with technical feasibility, business objectives, and user needs.
• Conducted international market research and competitive analysis (EU, US, China) to validate product-market fit and shape scalable, localized strategies.
• Turned customer and user insights into actionable roadmaps and feature specs, ensuring alignment with compliance, safety, and usability standards across regions.
• Key project: Co-led development of Zeekr M-Vision, an autonomous vehicle platform co-developed with Waymo, delivering a user-centric, AI-integrated solution that met stringent international regulatory and market requirements.

• Developed the iOS/Android Delegate App and the Conference Operator
• Updated and developed a user-friendly conference environment and real-time video streaming
• Optimized the overall conference experience by implementing customizable features for flexible setup
• Enhanced the efficiency and usability of conference technology, enabling a seamless workflow and improved participant interaction experience

• Collaboration with MB (Sindelfingen), NVIDIA (Santa Clara), MBRDI (Bangalore)
• Structure and signal modelling in Rhapsody
• Architectural decision records and requirement reviews
• Technologies: Confluence, Rhapsody, JIRA, DNG, Jama, Slack, GitLab, AWS CDW, Bazel, Docker, QNX

• Researched, developed, and implemented comprehensive digital strategy to modernize and accelerate processes of sports club with approximately 1300 members.

• System Architecture & Implementation: Conceived and set up central cost- and energy-efficient ARM-based server infrastructure.

• Selected, installed, and configured open-source solutions for knowledge management, ticket booking, and member management.

• Developed and operationalized a digitalization strategy to ensure a seamless value chain across all business areas in coordination with executive management
• Implemented a process management standard and led the process organization
• Program management: directed the design, implementation and coordination of the rollout across all value-adding business units
• Reported on the program to stakeholders and executive management
• Supplier management: selected, contracted and managed suppliers within the digitalization program
• Redesigned the process organization, defined new process standards and developed training programs

• Specialized in bridging Strategy, Technology, and People to deliver real-world impact in both corporate and startup ecosystems.

• Pre-assessments and review of functional safety status for ADAS ECUs and body controller components
• Conduct functional safety audits
• Review the functional safety status of the E3 1.2 in a pre-assessment
• Document interviews
• Document findings and generate internal reports

Methods:

• ISO26262
• Automotive SPICE Level 2, 3
• Agile methods, SAFe

Tools:

• DOORS
• Enterprise Architect
• JIRA & Confluence
• IQ-FMEA
• Isograph

• Integrated sensor data used for lane boundary extraction into the internal fingerprint pipeline, supporting AI-based localization for autonomous vehicles using Python.
• Worked in a cloud-based environment using AWS services for data storage and processing.
• Authored onboarding and technical documentation, improving team efficiency and knowledge transfer.
• Collaborated with other engineers to translate data requirements into engineering solutions while adhering to confidentiality protocols.