01 / Context
The problem.
Event information arrives from heterogeneous sources and needs consistent structure before it can support discovery, publishing, and operations.
02 / My contribution
What I built.
I engineered Python/n8n workflows with LLM-assisted extraction, translation, cleaning, and normalization, and designed PostgreSQL-backed validation and application integration. I led development from requirements through deployment.
03 / Approach
Engineering decisions.
Create a consistent data layer
Heterogeneous information is normalized into structured records with explicit validation.
Choose tools by responsibility
Custom application logic and n8n operational orchestration serve different needs and are used together.
Include operational visibility
Execution logs, failure alerts, monitoring, and scheduled workflows are part of the delivery path.
04 / Outcome & context
What this work shows.
An integrated event-information and automation system for a Swedish-market project. This describes delivered engineering work rather than claiming a currently available public service.
Useful automation joins data preparation, application logic, and operations.
Industry project / The cover is a concept illustration. This case study focuses on my contribution and system-level decisions.