Alessandro Sirsi

Computer science teacher based in Italy, building APIs, integrations and automation tools.

My work centres on data integration: official public data is often published across several authorities with no shared format, no common identifiers and no common terminology. I build the layer that reconciles it — one schema, one severity scale, one identifier — so that developers, compliance teams and AI agents can consume it without writing five separate integrations.

Principles I build to: reliability over feature count, explicit failure reporting instead of silent gaps, and documentation that states limitations as clearly as capabilities. A feed that quietly returns less data is worse than one that says it could not reach a source.

Currently working on unified safety and compliance data feeds, with European coverage in development.

Interests: AI agents and MCP, public data infrastructure, workflow automation, regulatory data.