Alessio Persichetti

Re-engineered the entire data-ingestion ETL pipeline, migrating from Python to Go, which resulted in a 5x throughput increase. Reduced processing runtime by 78% (from 45 minutes to under 10 minutes per load) through optimized code architecture. Decreased monthly compute spend by ~35% by implementing lighter containers and better parallelism.

Led a 12-person cross-functional team that shipped an autonomous-agent SaaS platform for legal document processing. Eliminated 80% of manual triage tasks and reduced average ticket resolution time from 50 min to 15 min (-70%). Met or exceeded 100% of OKRs for five consecutive quarters, establishing strong product-market fit.

Delivered 15 projects for 10 clients with 100% on-time and on-budget completion rate. Introduced CI/CD pipeline (GitHub Actions + Terraform + Kubernetes) reducing deployment lead-time from days to <1 hour. Led teams of 10+ developers, implementing Agile methodologies that improved project visibility and predictability.

Developed backend components for enterprise applications using Node.js and TypeScript. Collaborated with cross-functional teams to integrate multiple systems through APIs, improving data flow. Optimized database performance by writing efficient SQL queries and implementing proper indexing strategies.

Managed daily operations ensuring compliance with safety regulations and maintaining high service standards. Coordinated with vendors and service providers to ensure efficient facility operations. Conducted regular facility inspections to identify and address potential issues proactively.

Currently pursuing studies in mathematical sciences for artificial intelligence. The curriculum integrates advanced topics in mathematics and computer science, preparing for roles in AI development and research.

Completed high school education with a specialization in computer science. Gained foundational knowledge in informatics and related scientific disciplines.