Production AI systems · Berlin

Build AI systems that improve from evidence

I design production AI systems across software engineering, agents, evaluation, retrieval, security, and infrastructure—turning traces and failures into controlled experiments, reliable releases, and safer behavior.

Automate the experiment, not the authority to declare it safe.

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  1. Retrieval and Language Systems NER Guide 2026: GLiNER, spaCy, Transformers, and LLMs 41 min
  2. Retrieval and Language Systems OCR in 2026: Classical Pipelines, VLMs, and Document AI 22 min
  3. Retrieval and Language Systems RAG Evaluation Metrics: Retrieval, Reranking, Generation 44 min
  4. Model Engineering LLM Fine-Tuning Guide: When to Fine-Tune, LoRA and QLoRA 29 min

Latest articles

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  1. Agent or workflow: five designs for one support assistant 22 min

    The same support tasks as an agent, an agent with approval, an agent in a workflow, a router and a workflow with no agent, compared on one test set.

  2. Designing an agent harness: from task to architecture 28 min

    How task requirements shape an agent harness: choosing control flow, tools, code execution, state, permissions and evidence before choosing a framework.

  3. Meta-engineering AI systems: from traces to better memory 19 min

    Turn one wrong answer from an agent's memory tool into a tested improvement, then check whether a plain script could have found the same fix without an LLM.

About

The systems around the model are the product.

I’m Slava Dubrov, a Staff AI System Engineer with a doctoral degree in AI diagnostics. I work across software engineering, agent systems, evaluation, retrieval, security, and production infrastructure.