2025-Present
AI & Automation Process Engineer
BMW Group
STEPHAN
KARAS
Currently engineering AI systems at BMW Group.
Work & Impact
Career
2024-2025
AI & Software Engineer
Qubicon AG
2023-2024
AI Research & Development Engineer
TH Deggendorf
Expertise
AI Systems & Applied Machine Learning
- Machine Learning
- NLP & LLMs
- Computer Vision
- Feature Engineering
- AI-Driven Process Automation
- OpenAI API Integration
- Prompt Engineering & RAG
- Instruction Tuning
- AI Agent Design
Software Engineering
- Full-Stack Development
- API Design & Development
- System Architecture
- Cloud Infrastructure
- DevOps & CI/CD
- Microservices
- Database Design
- Performance Optimization
Innovation, Strategy & Technical Leadership
- Technical Leadership
- Stakeholder Management
- Business Strategy
- Market Analysis
- Competitive Intelligence
- Product Roadmapping
- Cross-Functional Collaboration
- AI Strategy & Consulting
Mission
Most AI never reaches production. It stalls in research, breaks under real-world complexity, or solves the wrong problem. The gap between what AI can do and what organizations actually extract from it is where most teams lose time, money, and momentum.
I close that gap. From Springer-published research to deploying AI systems at BMW Group, I build intelligent systems that operate in the real world, not just in demos. Full-stack, production-grade, and designed to compound in value over time.
"
Aim above the mark to hit the mark.— Ralph Waldo Emerson
"
Publications
Achievements
Deployed AI at BMW Group
Built the system that turned BMW engineering documentation into a living, queryable knowledge graph, automating compliance verification that previously took weeks. Full-stack, production-deployed, and growing in value with every document ingested.
Published AI Research Backed by European Energy Initiatives
Co-authored applied AI research on electric vehicle infrastructure optimization, accepted at GISTAM 2023 and published by Springer. The work was developed under the EU-backed ERA-Net Smart Energy Systems Initiative, tying the research directly to real European energy and infrastructure priorities.
Turned Platform Friction into Customer Adoption
Built the Qubicon Python SDK to remove a core integration bottleneck for customers. Within a year it was used by 80% of the customer base and reduced integration time by 3x, turning platform access into something customers could actually build on.
Built Fast. Reached Daily Use.
Built and launched a full-stack AI product in under a week, then saw it reach daily use by thousands through organic adoption. Speed only matters if the product sticks; this one did.
Let's Talk
I work on problems worth solving. If you're building something that matters, reach out.
Send a Message
I'm always interested in ambitious ideas, meaningful work, and sharp people. If this sounds like you, feel free to reach out.