Hi, I’m Nikshiptha, a results-driven Full Stack Developer focused on finance and enterprise applications. With 3+ years of experience, I craft high-performance systems using Java 11, J2EE, Spring Boot, Hibernate, REST APIs, PostgreSQL, Kafka, AWS, Docker, and Kubernetes. I’ve delivered core microservices and revenue platforms that handle tens of thousands of records per day while keeping workflows sub-second, and I’ve helped reduce operational costs by millions. Beyond core development, I’m exploring Generative AI, RAG pipelines, and vector databases to enable intelligent analytics, automated reporting, and knowledge retrieval for business teams. I enjoy collaborating across product and data teams to turn complex data into actionable insights.

Nikshiptha Rapuru

Hi, I’m Nikshiptha, a results-driven Full Stack Developer focused on finance and enterprise applications. With 3+ years of experience, I craft high-performance systems using Java 11, J2EE, Spring Boot, Hibernate, REST APIs, PostgreSQL, Kafka, AWS, Docker, and Kubernetes. I’ve delivered core microservices and revenue platforms that handle tens of thousands of records per day while keeping workflows sub-second, and I’ve helped reduce operational costs by millions. Beyond core development, I’m exploring Generative AI, RAG pipelines, and vector databases to enable intelligent analytics, automated reporting, and knowledge retrieval for business teams. I enjoy collaborating across product and data teams to turn complex data into actionable insights.

Available to hire

Hi, I’m Nikshiptha, a results-driven Full Stack Developer focused on finance and enterprise applications. With 3+ years of experience, I craft high-performance systems using Java 11, J2EE, Spring Boot, Hibernate, REST APIs, PostgreSQL, Kafka, AWS, Docker, and Kubernetes. I’ve delivered core microservices and revenue platforms that handle tens of thousands of records per day while keeping workflows sub-second, and I’ve helped reduce operational costs by millions.

Beyond core development, I’m exploring Generative AI, RAG pipelines, and vector databases to enable intelligent analytics, automated reporting, and knowledge retrieval for business teams. I enjoy collaborating across product and data teams to turn complex data into actionable insights.

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Experience Level

Expert
Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Full Stack Developer at Citigroup, USA
May 1, 2025 - Present
Developed high-availability Java applications for enterprise payment processing and risk validation using Java 11, J2EE, Spring Boot, Hibernate, JPA, and REST APIs, enabling real-time transaction intake and lifecycle management with workflows completing under 250 milliseconds. Deployed and maintained distributed microservices on AWS (EKS, EC2, RDS, S3) with Dockerized services, performing scaling, performance tuning, fault recovery, and production incident response for continuous workloads. Built event-driven pipelines with Apache Kafka and internal schedulers to streamline trade and payment processing, achieving cost reductions across compliance and settlement systems. Implemented security (Spring Security, OAuth2, JWT, RBAC, encryption, API gateways) to protect over 1 million user accounts and transaction records. Optimized PostgreSQL and MongoDB databases for fast access; supported 40,000+ records per day. Established CI/CD pipelines with Jenkins, Git, Docker, Kubernetes, enabling a
Java Full Stack Developer at Hexaware Technologies, USA
March 1, 2022 - August 1, 2024
Led migration of legacy finance services to AWS-based microservices architecture (EC2, ECS, RDS, S3, CloudWatch), modernizing revenue systems handling 33 million USD in monthly operations. Built secure REST APIs and microservices handling heavy monthly close workloads with 85,000+ service calls per day. Implemented Kafka-based streaming pipelines for real-time synchronization between billing, collections, reporting, and compliance platforms, ensuring data consistency across 140,000+ transactions per billing cycle. Created automated testing frameworks with JUnit, Mockito, Postman, and Selenium; expanded regression coverage across 240+ critical finance scenarios, reducing post-release issues. Setup monitoring with ELK Stack, Prometheus, and Grafana for 1,100+ running services, enabling proactive detection during peak processing. Partnered with data and product teams on Generative AI initiatives, designing prompt workflows and API integrations to accelerate internal finance analysis and k

Education

Master of Science in Computer Science and Information Technology at Sacred Heart University
January 11, 2030 - April 20, 2026
Bachelor of Engineering in Computer Science at Sri Krishnadevaraya University
January 11, 2030 - April 20, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Professional Services