IBRAHIM KADO
Technology Leader | AI Architect for In-Vehicle & Enterprise AI Solutions
"My passion is to bring AI into cars"
What makes LLMs intelligent? Memory and context. Master these concepts through hands-on development, and you unlock truly intelligent in-car agents. Real expertise comes from building, not just using.
Pioneering AI-defined vehicles with hands-on expertise in bringing intelligent systems from concept to customer. Deep understanding of automotive challenges and proven solutions for modern software-defined mobility.
Stuttgart & Berlin, Germany
"Innovation starts with an idea, but must end with a product."
Innovative AI architect with almost 15 years in automotive software, AI systems, and data architectures across VW Group including Porsche, Volkswagen, Audi, and CARIAD
Expert in AI strategy and transformation covering the full technology spectrum from in-vehicle AI such as Edge AI, LLMs, and multimodal AI driver assistants (voice, video, context) to enterprise AI solutions including data platforms, cloud architectures, and analytics
Hands-on experience bringing cutting-edge AI technology from concept to customer delivery
Proven track record in LLM-based hybrid AI systems combining edge and cloud processing
Leading cross-functional teams of up to 70+ architects and developers in an agile SAFe setup
Strategic AI consultation to Board-level executives
Holder of 11 registered patents with deep expertise in Edge AI powered by Qualcomm NPUs
Designer of Vehicle Data and AI Platform serving 2TB+ daily data processing
Currently designing AI platform to run AI applications inside the car communicating with backend cloud systems
Ready to drive AI transformation and shape intelligent software-defined vehicles
Seeking a senior leadership role to lead technical teams in building and scaling in-car AI platforms and accelerating AI product delivery to customers
Specialized Knowledge Areas
Click on any card to explore detailed expertise, projects, and technologies
Edge AI & NPU
On-device AI inference on automotive-grade SoCs
AI & ML Architectures
Large Language Models and multi-agent systems
AI Frameworks & Runtime
Qualcomm stack expertise for AI model deployment
Languages & Development
Full-stack automotive software development
Cloud & Data Platforms
Enterprise data architectures processing 2TB+ daily
Connected Car Services
Online personalization and digital services
15+ Years of Innovation
Click each role to explore details and achievements
Technical Manager for AI, Edge AI and Vehicle Data
Lead Engineer & Technical Manager - Consulting Board on AI and Digital Assistants
Leading AI architecture strategy and multimodal AI assistant systems for next-generation Porsche vehicles.
Key Responsibilities
- Responsibility for AI, Cloud, and Vehicle Data architectures across Porsche development
- Implementation of LLM-based hybrid assistant systems combining Edge and Cloud processing
- Cross-departmental coordination: Development Department, Sales Department, and Enterprise Management for holistic customer experiences
- Development of AI solutions for in-vehicle personalization and comfort
- Integration of embedded system functions including VHAL, CarPropertyManager for vehicle control
- On-device AI development on Qualcomm Snapdragon automotive SoCs including Whisper ASR, TTS, and LLM inference
- Board-level consulting on AI strategy, digital assistants, and innovation roadmaps
- Currently designing AI platform to run AI applications inside the car communicating with backend cloud systems
Key Achievements
- Led the development of multimodal AI driver assistant integrating voice, video, and context understanding
- Successfully deployed production-ready LLM-based voice assistant on automotive-grade hardware
- Established AI architecture standards adopted across Porsche vehicle platforms
Technologies & Focus Areas
Lead Architect & Technology Advisor
Strategic consulting for Data and AI technologies. Designing and architecting data platforms on AWS for vehicle and customer data.
Presales Software Solution Architect
Architecture responsibility for Connected Car solutions enabling vehicle connectivity across Volkswagen Group.
Test Manager & Test Analyst
Test management for connected car web services across VW Group brands.
Software Automation, Data Engineer and Data Analytics
Data processing and research in the Lithium Battery field for electric vehicles.
In-Vehicle AI Stack
End-to-end automotive AI architecture from application layer to hardware acceleration. Highlighted areas represent my core expertise and hands-on implementation experience.
Applications Layer
Layer 1 of 4
AI Assistant
Multimodal voice & vision
Predictive Maintenance
Vehicle diagnostics
Battery Management
Optimization & monitoring
Personalization
Driver comfort & preferences
Gen AI Models & Frameworks
Layer 2 of 4
LLMs
GPT-4o, Claude, Llama
Edge Models
Whisper ASR, TTS, SLMs
AI Frameworks
Llama-Stack, ExecuTorch, ONNX
Model Lifecycle
Deployment & optimization
Operating Systems & Middleware
Layer 3 of 4
Android Automotive OS
AAOS platform
VHAL Integration
Vehicle HAL layer
CarPropertyManager
Vehicle control APIs
RTOS
Real-time systems
Hardware Layer
Layer 4 of 4
Qualcomm NPU
AI acceleration
GPU
Graphics processing
CPU
General compute
DSP
Signal processing
Memory
RAM & Flash storage
Core Expertise Across the Stack
Highlighted areas represent hands-on implementation experience and deep technical expertise
How to Build In-Car AI Powered Applications?
Building production-ready AI applications in vehicles requires deep expertise across the entire technology stack—from edge AI inference on automotive hardware to enterprise cloud infrastructure.
This end-to-end architecture represents my hands-on experience designing and implementing intelligent automotive systems, with highlighted sections showing where I've built production solutions at scale.
On-Vehicle Side
Infotainment Hardware + AAOS
Layer 1 - Software
Applications (Hybrid Execution)
Gen AI Models & Frameworks
Operating Systems & Middleware
Layer 2 - Hardware
Processing Units
Memory
Connectivity
Enterprise Infrastructure & AI Stack
Cloud Backend Services
Layer 1 - API & Orchestration
API Gateway & Management
MCP Servers (Model Context Protocol)
Layer 2 - AI/LLM Services
Cloud LLM Providers
AI Orchestration
AI Frameworks
Layer 3 - Data Services
Data Storage
Data Processing
Vehicle Data Platform
Layer 4 - Infrastructure
Compute
Security & Compliance
Observability
11 Registered Patents
Innovation protected through intellectual property across vehicle personalization, connected services, and data architecture
Method for Adapting Vehicle Component Settings
Method, computer program and device for adapting the settings of components of a means of transport. A secure protocol for adapting vehicle settings with condition-based license control.
Online Personalization of Vehicle Settings
Method for online personalization of vehicle settings and device for transmitting personalized vehicle settings to a backend server. Enables user preferences to transfer between vehicles with factory reset options.
Multi-Vehicle Functional Unit Adjustment
Method for adjusting a first functional unit of a first motor vehicle and a second functional unit of a second motor vehicle. Enables ergonomic settings synchronization across different vehicle types.
Transmission of Functional Parameters Between Motor Vehicles
Method for transmitting functional parameters between motor vehicles using neutral data format conversion. Enables seamless parameter transfer between vehicles of different types and configurations.
+ 7 additional registered patents in vehicle AI, data platforms, and connected services
Career Highlights & Impact
Transformative contributions across automotive AI, from concept to production
Multimodal AI Assistant for Porsche
Built state-of-the-art multimodal AI assistant on Android Automotive OS for Porsche vehicles, combining voice, text, and visual understanding.
Silicon Valley Startups
Co-founded 2 startups backed by Porsche and US-based UPLABS incubator, focusing on vehicle data analytics and GenAI technologies for automotive applications.
Online Personalization Launch
Successfully launched MOD3 and MOD4 online personalization features on MQB and MEB vehicle platforms across VW Group brands.
On-Device Voice Pipeline
Developed complete on-device pipeline: Whisper ASR, Small LLM, TTS, running entirely on Qualcomm automotive SoC with sub-500ms latency.
11 Registered Patents
Inventor of 11 registered patents in AI, automotive software, Edge computing, and connected vehicle technologies across multiple jurisdictions.
70+ Person SAFe Team
Successfully led cross-functional teams of architects and developers in agile SAFe setup on enterprise-scale AI and data initiatives.
Technology Partners
Working with industry leaders to deliver cutting-edge AI solutions for automotive applications
AWS
Cloud infrastructure and AI services
Google Cloud
Cloud platforms and ML services
Rivian
Electric vehicle technology
Azure
Cloud services and enterprise solutions
OpenAI
Large language models and AI
Education & Certifications
Academic background and professional credentials
Engineering Degree in Electrical Engineering
Saint Petersburg State University
Saint Petersburg, Russia
Specialization: Automation & Embedded Systems
Professional Certifications
Languages
Get in Touch
Interested in discussing AI strategy, vehicle technology, or leadership opportunities? I'd love to hear from you.
Contact Information
Connect with me professionally
automotiveaitech@gmail.com
Location
Stuttgart & Berlin, Germany