Data Engineer · Berlin, Germany
Reliable data systems and AI integration for teams that need production-grade results.
Data Engineering and AI systems — batch pipelines, knowledge retrieval, and workflow automation.
I build deterministic, observable, production-grade data and AI systems. Grounded in enterprise batch ETL engineering, expanding into RAG pipelines, embeddings, and AI-driven automation.
Currently building
AI and automation projects
Expanding from production batch ETL into applied AI systems — RAG pipelines, embeddings, and workflow automation.
Document Q&A System
In progressEmbedding-based retrieval system over structured documents. Exploring chunk-level metadata handling and source attribution in retrieval responses.
Full RAG Pipeline
PlannedEnd-to-end RAG system from document ingestion to grounded response generation. Focus on deterministic chunking strategies and retrieval evaluation.
AI Workflow Automation
PlannedEmail classification and task-routing pipeline using LLM inference with structured outputs for CRM integration.
Who I help
Data Engineering + AI Systems
Engineering teams and departments running batch-heavy reporting, large document knowledge bases, or manual data workflows that block AI adoption.
- — Pipelines that fail silently or require manual restarts
- — Reporting data that stakeholders cannot trust
- — Enterprise knowledge bases that AI systems cannot reliably query
- — Data workflows requiring constant manual intervention