
HenkelHiedl
Machine Learning Engineer · Jul 2025 – Present · Berlin
henkelhiedl.comHenkelHiedl is a Berlin-based design and strategy agency, founded in Kreuzberg in 2003, working with brands and institutions on digital communication, identity, and product.
I architected an internal LLM chatbot with MCP servers, integrating internal documents, a structured knowledge base, a skills layer, and a prompt library — giving staff a single interface to query institutional knowledge.
I also built a large-scale LLM-powered data pipeline to mine over 600,000 dental records for structured clinical data, surfacing patterns and insights spanning 20 years of patient history. The pipeline handles noisy, semi-structured clinical notes and extracts computable fields at scale.
Chatbot Architecture
4 integration layers behind a single chat interface. Staff query institutional knowledge, trigger agent skills, and access curated prompts.
Internal Docs
Company documents indexed for retrieval
Knowledge Base
Structured institutional knowledge
Skills Layer
Task-specific agent capabilities
Prompt Library
Curated prompt templates
DATA PIPELINE
dental records processed
patient history span
structured fields extracted