STEPHAN
KARAS

Currently engineering AI systems at BMW Group.

Work & Impact

Career

01
2025-Present

AI & Automation Process Engineer

BMW Group

02
2024-2025

AI & Software Engineer

Qubicon AG

03
2023-2024

AI Research & Development Engineer

TH Deggendorf

Capabilities

Clients bring me in to define the problem, set the technical direction, and build the system. Engagements can be advisory, hands-on, or both, from early-stage decisions through production delivery.

Production AI

AI systems designed for real operations, with reliability, evaluation, auditability, and integration treated as core requirements.

  • LLM applications, RAG, and knowledge graphs
  • AI agents and workflow automation
  • Model evaluation, fine-tuning, and synthetic data
  • Predictive ML, computer vision, and document intelligence

Software, Data & Platforms

The complete engineering layer around the intelligence, from product architecture and interfaces to the infrastructure that keeps it useful.

  • Full-stack product development
  • APIs, SDKs, CLIs, and third-party integrations
  • Data models, databases, and processing pipelines
  • Cloud architecture, deployment, performance, and reliability

Strategy & Product Direction

Clear technical and commercial direction for leaders deciding where AI creates leverage, what to build, and how to execute.

  • AI opportunity and feasibility assessment
  • Technical due diligence and architecture review
  • Product strategy, roadmaps, and prioritization
  • Model, platform, and vendor selection

R&D & Technical Leadership

Ownership of uncertain, research-heavy, or multidisciplinary work where the path is not obvious and the decisions carry business consequences.

  • Rapid prototyping and proof of value
  • Applied research, simulation, and control systems
  • Technical program ownership and delivery
  • Alignment across leadership, product, engineering, and domain experts

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 work across research, product, and engineering to make that value tangible: systems that fit the organization, hold up under real constraints, and remain useful long after launch.

Publications

Let's Talk

I work on problems worth solving. If you're building something that matters, reach out.

Email

contact@stephankaras.com

Location

Munich, Germany

Connect

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.