• Engineered and deployed cloud-native microservices using Java 17, Spring Boot 3, Hibernate, and RESTful APIs on Azure Kubernetes Service and AWS EKS, improving transaction throughput by 50%.

• Developed responsive Angular 17 frontends using TypeScript, RxJS, and Material UI, integrating JWT and OAuth2 secured Spring MVC APIs to enhance real-time portfolio analytics and advisor productivity.

• Built secure backend services using Spring Security, JPA, and Redis caching, implementing role-based access control and OWASP standards to protect sensitive financial data.

• Automated event-driven reconciliation pipelines using Spring Batch, Apache Kafka, Azure Functions, and AWS Lambda,reducing manual discrepancies by 70% while ensuring SOX-compliant auditability.

• Integrated AI-driven anomaly detection and risk scoring models using Python, Scikit-learn, TensorFlow, and Azure OpenAI APIs to strengthen fraud detection and proactive investment risk monitoring.

• Implemented CI/CD pipelines using Azure DevOps, GitHub Actions, Docker, Kubernetes, Terraform, and Maven, achieving 40% faster deployments with 85% test coverage using JUnit and Mockito

• Architected and developed a scalable full-stack platform using Java Spring Boot, Node.js, MongoDB, and AWS EC2, increasing student engagement by 35% through unified academic access.

• Designed responsive React and Angular frontends using TypeScript and RxJS, integrating secured REST and GraphQL APIs with JWT authentication, improving performance and accessibility compliance by 50%.

• Built backend microservices using Spring Boot, Hibernate, and Redis caching, implementing role-based access control and OWASP security standards to ensure secure academic data processing.

• Integrated AI-powered analytics using Python, Scikit-learn, TensorFlow, and AWS SageMaker to deliver predictive insights and personalized research recommendations, enhancing decision-making accuracy.

• Automated CI/CD pipelines using GitHub Actions, Jenkins, Docker, Kubernetes, and AWS services, achieving 92% test coverage with JUnit and Cypress while reducing production defects by 60%.

• Developed a customer analytics and insights platform using Java (Spring Boot), Microservices Architecture, and

PostgreSQL, hosted on AWS (EC2, RDS, Lambda) to deliver enterprise dashboards with 40% faster query performance.

• Implemented React.js and TypeScript frontends consuming GraphQL and RESTful APIs, leveraging OAuth 2.0 and JWT authentication to enhance data security and increase platform adoption by 45%.

• Built a real-time data ingestion pipeline using Apache Kafka, RabbitMQ, and Redis caching, enabling low-latency streaming and reducing system lag by 70% across distributed components.

• Automated deployments through Jenkins, Docker, and Kubernetes, integrating SonarQube and Jacoco for continuous quality checks, which improved code reliability and maintainability scores by 30%.

• Applied Reactive Programming (Spring WebFlux) and multi-threading techniques to improve backend concurrency and API responsiveness, reducing server load by 25% under peak traffic.