May 2025 – Present · 1 yr · Bengaluru, Karnataka, India · On-site

• Implemented retry functionality for PO creation and update APIs to handle transient failures and improve overall system reliability.
• Contributed to decommissioning the legacy TSS system with a three-member team, successfully migrating functionality to POGO and achieving major cost savings and system simplification.
• Modernized the PO supply chain data flow by enabling all consumers to subscribe from a unified Kafka outbound topic, improving data consistency and reducing system coupling.
• Practiced Agile methodology by participating in sprint planning, grooming, stand-ups, and retrospectives, collaborating closely with product and QA teams.
• Followed SOLID principles and applied design patterns like Factory and Singleton to deliver clean, maintainable, and testable code.
• Implemented reverse sync for PO Create and Update flows by sending data to MQ, ensuring legacy systems remained aligned and downstream non-modernized applications were not impacted.
• Introduced flag-based feature rollout to enable controlled deployment of new functionalities to specific user groups before full-scale launch.
• Optimized frontend–backend communication by integrating GraphQL with Spring Boot, reducing overfetching and decreasing network bandwidth usage by ~70%.
• Developed a high-performance, multi-criteria search module using Elasticsearch, significantly improving PO lookup time and user productivity.
• Engineered an event-driven EDI865 processing solution using Kafka to automate vendor approve/reject responses with retry logic and user notifications, streamlining replenishment operations and reducing manual effort.

Jun 2023 – Apr 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

• Developed a reusable JAR component to implement token caching, eliminating the need to call the authentication API for every request to the Kong API. This significantly reduced latency and improved overall request efficiency.
• Built a batch processing application to extract data from the legacy database and publish it to Kafka topics. This enabled smooth data migration and real-time streaming integrations between old and new systems.
• Designed and implemented multiple REST APIs to deliver Purchase Order (PO)–level data to the user interface. These APIs were optimized for scalability and aligned with business requirements to ensure a seamless user experience.
• Performed performance testing using K6, identified bottlenecks, and improved system throughput by refactoring code and adopting a reactive programming approach. These optimizations enhanced the system’s responsiveness under high load.
• Implemented Bulk PO Creation functionality with robust validation and comprehensive error handling. This ensured data integrity and provided clear feedback to users during large-volume PO submissions.