Rana Reddy

Led design and implementation of Spring Boot microservices for enterprise collections workflows, processing millions of financial records daily across distributed banking systems. Architected event-driven data pipelines using Apache Kafka to enable reliable ingestion and processing of legacy mainframe data, achieving higher throughput and reduced latency. Leveraged AI-assisted development tools (Cursor, GitHub Copilot, Claude) to accelerate development cycles and improve code quality. Implemented resilient Kafka consumers with retry, idempotency, and fault-tolerance mechanisms, reducing data processing failures by 40%. Built scalable persistence layers using Hibernate/JPA and PostgreSQL, optimizing queries and response times by 25%. Developed responsive React front-ends with TypeScript to provide real-time dashboards. Guided cloud deployment and infrastructure automation using AWS ECS, OpenShift, and Terraform, improving deployment consistency and provisioning time by 50%. Improved obs

Led the design and implementation of Spring Boot microservices for enterprise collections workflows processing millions of financial records daily across distributed banking systems. Architected event-driven data pipelines using Apache Kafka, enabling reliable ingestion and processing of legacy mainframe data with improved throughput by 35% and reduced processing latency. Leveraged AI-assisted development tools such as Cursor, GitHub Copilot and Claude to accelerate development cycles, improve code quality, and reduce manual effort in microservices implementation. Implemented resilient Kafka consumers with retry strategies, idempotency and fault tolerance, reducing data processing failures by 40%. Built scalable persistence layers using Hibernate/JPA and PostgreSQL, optimizing query performance and improving data access response times by 25%. Developed responsive React applications using TypeScript and Hooks, delivering real-time dashboards and improving operational visibility for busi

Designed and developed cloud-native microservices supporting payments, invoicing, and financial workflows, handling high-volume transactions for millions of QuickBooks users. Implemented event-driven architectures using Kafka to improve real-time data propagation and system reliability. Adopted AI-assisted development workflows using GitHub Copilot, boosting developer productivity and code consistency across distributed microservices and React applications. Built secure financial services with OAuth2, JWT, encryption, and PCI compliance, protecting sensitive data. Designed and implemented Retrieval Augmented Generation (RAG), vector embeddings, and LLM integrations to support intelligent data retrieval and workflow automation. Optimized AWS infrastructure (EC2, RDS, Lambda, DynamoDB) with Docker/Kubernetes, improving scalability. Implemented Redis caching and database optimizations, reducing latency and costs. Built automated CI/CD pipelines using Jenkins and GitHub Actions, shortening