Sebastian Hernandez

Built a backend system to automatically receive, classify, and process corporate emails, handling around 18 emails per day with peaks above 50. Designed a document classification framework with traceable identifiers to maintain full audit trails and meet regulatory requirements. Built data validation pipelines to enforce required fields and business rules before inserting records into the database, reducing manual corrections to near zero. Extracted fiscal, transactional, and entity data from JSON electronic invoicing documents into a normalised PostgreSQL schema. Automated PDF fiscal document generation from structured data, in full compliance with El Salvador's electronic invoicing (DTE) format. Reduced manual processing time in the distribution centre's document workflows, improved data consistency, and strengthened the team's audit readiness.

Built a backend system to automatically receive, classify, and process corporate emails (roughly 18 emails per day with peaks above 50). Designed a document classification framework with traceable identifiers (DTE-1, DTE-2, etc.) to maintain full audit trails and regulatory compliance. Built data validation pipelines to enforce required fields and business rules before inserting records into PostgreSQL, reducing manual corrections to near zero. Extracted fiscal, transactional, and entity data from JSON electronic invoicing documents into a normalised PostgreSQL schema. Automated PDF fiscal document generation from structured data in full compliance with El Salvador's electronic invoicing (DTE) format. Reduced manual processing time in the distribution centre's document workflows, improved data consistency, and strengthened audit readiness.