Experience
15+ years in software engineering
Enterprise software systems, Diplom in computer science, and delivery in mature system contexts.
AI architecture with software engineering
I combine senior software engineering with AI architecture: LLM/RAG workflows, structured outputs, integration decisions, and realistic feasibility assessment.
Experience
15+ years in software engineering
Enterprise software systems, Diplom in computer science, and delivery in mature system contexts.
AI focus
LLM, RAG, and structured outputs
AI engineering with LangChain/LangGraph, Pydantic, retrieval quality, and controlled data flows.
Architecture
Feasibility before hype
Assess use cases, plan integrations, expose risks, and turn decisions into testable systems.
In development
Local knowledge infrastructure with RAG, source status, and answer confidence
RAG is more than vector search here: search scope, source grounding, evidence status, structured output logic, and honest non-answers. Local architecture prototype, not a finished product.
Read the case note →Latest article
When connecting core systems to LLMs today, my CPU barely computes – it just waits. Sequential code becomes a fatal bottleneck. The solution: AsyncIO and the principle of concurrency on a single thread.
Read article →