Java Full Stack Developer at Fiserv

Engineered an AI-driven Client Risk Insights platform by integrating transactional, account, and CRM data; coordinated stakeholders and authored specifications to improve workflow efficiency across enterprise systems globally. Architected scalable backend APIs for risk summary, transaction alerts, and client profiles using Java Spring Boot, enabling real-time risk data access and reducing retrieval latency by 5%. Collaborated with Data Science to implement Claude AI models and agentic AI agents for autonomous risk scoring and transaction alerts automation, improving prediction accuracy by 18%. Built React dashboards for risk visualization with real-time backend integration, speeding decision-making by 20%. Orchestrated microservices for risk scoring, notifications, and ETL pipelines using Spring Batch, PL/SQL, and OAuth 2.0/JWT security; managed CI/CD pipelines on AWS and Docker. Enhanced observability with distributed logging and monitoring, achieving 99.9% uptime and faster incident