Carlos Mejia

Architected a full-stack AI-powered CRM using .NET 9 microservices and Claude API, reducing manual document-review time by 40%. Engineered agentic AI task routing and improved platform scalability by 35%.

Orchestrated migration of 20+ enterprise insurance systems to Windows Server 2019 with high-availability clustering and microservices boundaries. Modernized legacy applications to .NET Core and Angular, improving performance by 30%.

Revamped the Clinical Package Management System with optimized LINQ queries and refactored stored procedures, reducing clinical processing times by 25%. Maintained 100% test-pass rate on all refactored modules.

Reduced field-technician travel time by 30% with .NET Core microservices featuring GPS-based task optimization and NoSQL caching. Delivered two production applications from scratch within a 5-month engagement.

Decreased truck wait times by 40% and improved logistics inventory accuracy by 30% with a SAP B1 / .NET dispatch automation system. Maintained zero critical defects at go-live using design patterns.

Led migration of legacy logistics systems to SAP B1 + .NET, increasing operational efficiency by 30%. Reduced system downtime by 90% with automated monitoring and structured rollback procedures.

Built a .NET production management system with automated tracking, reporting, and data validation, improving food production process accuracy by 40%.

Delivered 3 custom CRM and enterprise systems from scratch for SMEs using ASP.NET and SQL Server, reducing post-launch bug rates by 35%.

Improved telecom service uptime by 25% across multiple regions managing large-scale infrastructure rollouts and cross-functional teams. Achieved 100% on-time delivery on all assigned projects.

Completed the .NET Application Specialist program at the National University of Engineering, Lima, Peru, in 2012.

Bachelor of Science in Computer Engineering from Ricardo Palma University, Lima, Peru, completed in 2006.