• Developed services for compliance team, focusing on Global Investigation and Case Management using Java, Spring Boot, SQL.

• Integrated AWS SQS consumers for Venmo events in compliance workflows, enhancing fraud detection and cutting latency by 25%.

• Built a GenAI-driven automated narrative generation system using CosmosAI and LLM agents to auto-summarize suspicious activities and fraud patterns, reducing the initial manual investigation effort by 60%.

• Resolved 4xx/5xx production issues, increasing investigator approval accuracy by 20% and stabilizing downstream services.

• Built scalable REST APIs using Spring Boot, Spring Data JPA, and Hibernate, improving sales data retrieval speed by 30% through pagination and optimized queries for high-volume workloads.

• Re-architected the sales module into microservices, reducing downtime by 35% and improving fault isolation by 40%.

• Reduced manual deployment time by 50% by implementing a CI/CD pipeline using Jenkins and GitHub.

• Led the end-to-end development of a custom report generation framework using Agile, conducted code reviews to maintain quality, and contributed to a 7% revenue increase through new client acquisition.

• Leveraged Kafka for real-time streaming and containerized services with Kubernetes for scalable, fault-tolerant architecture.

• Integrated automated test suites using JUnit and Selenium, cutting testing time by 25% and elevating test efficiency.

• Developed full-stack web applications for pricing solutions for US-based clients in the beverage domain using Java, JavaScript, SQL, and MVC architecture, incorporating load balancing to accelerate performance and handle 30% more traffic.

• Optimized the analytics by migrating to Elasticsearch, achieving 20% faster query responses and elevated real-time insights.