Objective and thorough accessment of where you stand in the Data / ML / AI journey. No nonsense - I will inform you if the accessment shows gapes in your current state, what steps would be needed to change that and clearly communicate requirements, chances and risks.

I help you determine the right level of complexity, balancing gains and maintenance / serving costs. From simple to more involved / state-of-the-art solutions with a focus on quick value creation and continuous improvements.

Depending on the needs of the project, we will pick the right solution utilizing techniques such as small language models (SLMs), large language models (LLMs) and a variety of machine learning (ML) models. That being said: a focus lies on avoiding unnecessary complexity. If a simple model, even a heuristic, fully solves your needs, perfect. In other cases: we got a full toolbox to create great solutions.

By means of classical keyword search, semantic search and hybrid search and both offline and online evaluations, we optimize your search with clear criteria and transparency.

Evaluations are essential to ensure the needle is moved in the right direction. This does not only hold for AI systems, but for any data driven system.

Enabling fast online experimentation and validation with direct, fast feedback forms the basis of continuous learning and sustainable growth.

Lets bring the insights to your customers! Best engineering and operations practices ensure quick development and reliable serving.

I provide courses in technical topics (ML / AI / Data / Search) and coaching to establish efficient team- and collaboration processes. I focus what I've seen work well in practice rather than reading out the mantra of particular frameworks.

During my career I've filled many roles including data / tech leadership as well as engineering management. I combine a deep understanding of the roles and expertise in the hands-on work to help you put together great teams.