Rammohan Pallapu

About Rammohan Pallapu

Full Stack Java Developer with 2+ years of experience building scalable enterprise applications in tax, banking, and government systems.I specialize in Java, Spring Boot, Microservices, and modern frontend frameworks such as React and Angular. My experience includes designing distributed messaging systems, building high-volume batch processing solutions, and integrating enterprise applications with external platforms.Key Achievements• Reduced CI/CD pipeline build time by 40% by optimizing JUnit and Mockito testing strategies in Jenkins• Designed a large attachment processing system supporting uploads up to 10GB using ActiveMQ, IBM MQ, and batch processing• Built distributed messaging workflows for reliable integration with external tax platforms• Delivered 4 major automation features independently that reduced manual case processing• Implemented accessibility improvements enabling visually impaired users to navigate the application using keyboard and screen readersTechnical SkillsJava • Spring Boot • Microservices • React • Angular • ActiveMQ • IBM MQ • Oracle • Jenkins • Git • CI/CD • Distributed SystemsCertificationsMicrosoft Azure Fundamentals (AZ-900)Microsoft Azure Developer Associate (AZ-204)Google Cloud CertifiedI am passionate about solving complex backend problems and building scalable systems.

Experience

1. Senior Software Engineer

   Capgemini

   Oct 2025 — Present

   Working on enterprise tax and government platforms supporting large-scale case processing, document management, and integrations with external tax systems.Key Contributions• Reduced Jenkins CI/CD build time by 40% through optimized JUnit and Mockito test implementation.• Designed and implemented a large attachment processing system increasing file upload capacity from 20MB to 10GB using ActiveMQ, IBM MQ, and batch processing workflows.• Developed asynchronous integration pipelines for transferring attachments to external tax platforms.• Automated case processing workflows using batch processing and configurable rules to reduce manual operations.• Implemented risk evaluation automation that identifies high-risk cases and routes them for manual review by customs officers.• Delivered four major features independently while maintaining high code quality and minimal review issues.

Education

• Government polytechnic college, Vijayawada

  Diploma of Education, Automobile/Automotive Mechanics Technology/Technician

• Narasaraopeta Engineering College, Narasaraopet.

  Bachelor of Technology - BTech, Mechanical Engineering

• Sri vikas high school, Gurazala

  Ssc, 10th