Designed and contributed to a real-time fraud detection system using Apache Kafka and microservices architecture, enabling high-throughput transaction processing with low latency

Built event-driven data pipelines to ingest and process millions of transaction events from payment systems, improving fraud detection response time

Implemented Kafka topics, partitions, and consumer groups to optimize scalability, fault tolerance, and parallel processing across services

Developed data enrichment pipelines by integrating customer, device, and geolocation data using Kafka Streams for enhanced fraud analysis

Collaborated with data science teams to integrate machine learning-based anomaly detection models for identifying suspicious transactions in real time

Automated alert generation workflows for flagged transactions, reducing manual investigation effort and improving detection efficiency

Enabled continuous model improvement by leveraging streaming + historical data pipelines for retraining fraud detection models

Monitored and optimized Kafka cluster performance, ensuring high availability and system resilience

• Designed and implemented scalable Java modules and REST APIs on the Guidewire platform, improving response times by optimizing

distributed workflows for enterprise insurance clients.

• Delivered production-ready software in a fast-paced Agile environment, collaborated with cross-functional teams during daily standups and

sprint planning to ensure timely, high-quality feature rollouts.

• Improved distributed system performance through effective debugging and optimization strategies

• Deployed code through CI/CD pipelines and increased test coverage by 40%.

• Increased code coverage by 40% through automated testing in JUnit and rigorous peer code reviews, ensuring robust and maintainable software

in mission-critical modules.

• Utilized Spring Boot’s dependency injection, configuration management, and auto-configuration features to build modular, testable

components for enterprise-grade insurance workflows.

• Developed dynamic UI components using JavaScript and HTML/CSS to enhance policy management and claims interfaces, ensuring a

responsive and user-friendly experience for insurance agents and clients.