Prince Lovern

Designed and implemented microservices architecture using Java 17, Spring Boot, Quarkus, and AWS for healthcare data management; led the development of AI-driven platforms, integrating real-time clinical insights using Kafka, Flink, and AWS SageMaker for predictive analytics.

Designed and implemented microservices architecture using Java 17, Spring Boot, Quarkus, and AWS for healthcare data management. Led development of AI-driven platforms, integrating real-time clinical insights using Kafka, Flink, and AWS SageMaker for predictive analytics. Migrated monolithic system to event-driven microservices with CQRS and event sourcing, improving reliability and reducing downtime. Optimized cold-start times for AWS Lambda workloads with GraalVM Native Images. Integrated Hazelcast for distributed caching, reducing database load during peak traffic. Collaborated with cross-functional teams to adopt OpenTelemetry for full-stack observability.

Developed backend services in Java and C# for AAA games, powering telemetry and player session management. Built real-time data pipelines using Kafka, Redis Streams, and WebSockets, enabling smooth multiplayer experiences. Implemented distributed caching with Redis/Hazelcast, optimizing system performance during high-traffic events. Optimized JVM performance and conducted memory leak analysis to ensure seamless gaming experience for millions of users. Collaborated with game designers and gameplay engineers to support in-game features and player safety, contributing to live service stability. Participated in the design and deployment of scalable systems using Kubernetes and CI/CD automation with Jenkins and ArgoCD.