Krishna Teja Rayapudi

Experience

1. Software Engineer

   Freddie Mac

   Jan 2025 — Present · US

   Developed and maintained responsive user interfaces for the lender portal using Angular, TypeScript ensuring a consistent and efficient user experience for high-stakes financial data visualization.• Engineered and deployed mortgage processing microservices using Spring Boot, modernizing legacy loan servicing workflows and improving loan transaction throughput by 20% across secondary mortgage systems.• Implemented Spring MVC, Spring Security, and JWT-based authentication to safeguard borrower information, ensure Fannie Mae Freddie Mac compliance, and enforce secure access for internal and partner-facing APIs.• Developed React.js-based borrower and lender dashboards consuming RESTful APIs, streamlining access to loan eligibility, underwriting, and payment status while improving page responsiveness by 25%.• Executed event-driven data pipelines via Apache Kafka to synchronize loan origination, credit risk, and servicing data across enterprise platforms and analytics systems, enabling real-time MBS risk monitoring.• Automated CI/CD pipelines using GitHub Actions for deploying applications to AWS EC2 and EKS, reducing release cycle times from weekly to daily and ensuring high-availability mortgage data services.• Configured API Gateway and PostgreSQL databases for loan-level data management, implementing referential integrity, validation rules, and maintaining 99.9% system uptime for mortgage processing systems.• Monitored system performance and log analytics through the ELK Stack (Elasticsearch, Logstash, Kibana) to proactively detect loan data anomalies, resolve latency bottlenecks, and reduce transaction errors by 15%.• Utilized GitHub Copilot for AI-assisted code generation, refactoring JUnit test suites and increasing automated test coverage by 30%, ensuring reliability of loan eligibility and credit risk computation modules.

Education

• University of North Carolina at Charlotte

  Master's degree