Leading development of cloud-native microservices for enterprise banking platforms using Java 17, Spring Boot, and Spring, supporting high-throughput financial and trading-related systems.

Designed and implemented RESTful and GraphQL APIs, enabling secure and efficient communication between backend services and frontend applications.

Built event-driven architectures using Apache Kafka, ActiveMQ, and RabbitMQ, ensuring low-latency, fault-tolerant messaging across distributed banking systems.

Implemented security and authentication mechanisms using Spring Security, OAuth 2.0, and JWT, ensuring compliance with enterprise and financial security standards.

Developed and optimized real-time data processing pipelines using Apache Spark and Scala, supporting streaming and batch workloads for financial analytics.

Integrated AWS services to deploy, monitor, and scale applications, ensuring high availability and reliability in production environments.

Designed and optimized relational and NoSQL databases using Oracle, MySQL, and MongoDB, improving query performance and supporting transactional workloads.

Implemented Redis caching strategies to reduce latency and improve response times for frequently accessed banking data.

Centralized logging and monitoring using Elastic Stack (Elasticsearch, Kibana) and Splunk, enabling proactive issue detection and system performance analysis.

Developed responsive frontend applications using React.js, Angular, Vue.js, JavaScript, HTML, CSS, and Bootstrap, supporting internal dashboards and monitoring tools.

Enabled real-time UI updates using WebSockets and optimized frontend performance through modular components and state management.

Automated CI/CD pipelines using Jenkins, supporting continuous integration, testing, and deployment of containerized services.

Deployed applications using Docker and Kubernetes, ensuring consistent environments and scalable deployments across AWS infrastructure.

Designed and developed backend healthcare services using Java 11/16, Spring Boot, and Spring, supporting clinical data management, analytics, and reporting systems.

Built and exposed RESTful and GraphQL APIs to enable secure access to patient records, clinical workflows, and healthcare analytics platforms.

Implemented security controls using Spring Security and JWT, enforcing role-based access and protecting sensitive healthcare data.

Integrated backend services with AWS API Gateway, enabling secure and scalable access to healthcare APIs.

Developed event-driven microservices using Apache Kafka and RabbitMQ, processing clinical events such as patient updates, lab results, and system notifications.

Designed and implemented data processing pipelines using Apache Spark and Scala, supporting batch analytics and healthcare research workloads.

Built scalable NoSQL solutions using DynamoDB for patient metadata and operational data.

Implemented Redis caching to improve performance and reduce latency for frequently accessed clinical information.

Designed graph-based data models using Neo4j to represent complex relationships between patients, diagnoses, treatments, and clinical trials.

Integrated Elasticsearch to enable fast search and retrieval of healthcare records and audit logs.

Provisioned and managed cloud infrastructure using Terraform, ensuring consistent and compliant deployment environments.

Developed frontend applications using React.js, Vue.js, and TypeScript, delivering dashboards and reporting tools for healthcare professionals.

Implemented real-time data updates using GraphQL subscriptions, improving visibility into critical clinical events.

Collaborated with cross-functional teams including clinicians, QA, and DevOps in Agile/Scrum environments, contributing to code reviews, design discussions, and production support.