Poojitha Mathi Email & Phone Number

United States

Hyderabad Area, India

• Developed a single-page web application utilizing Spring Boot, AngularJS, ReactJS, PostgreSQL, HTML5, CSS3, and JavaScript,significantly enhancing the overall system by increasing efficiency by 30% and improving information accuracy by 25%. Implemented comprehensive test coverage with JUnit, achieving over 90% Sonar test coverage.Documented REST APIs using Swagger, which streamlined the developer onboarding process and significantly reduced API related issues.• Leveraged Consul for automating network configurations, service discovery, and ensuring secure connectivity. Designed and developed automated test scripts using Selenium WebDriver to ensure the quality of web applications. Conducted performance testing using Apache JMeter,identifying and addressing bottlenecks.• Developed, and maintained scalable, secure, and high-performance cloud-based solutions leveraging AWS services such as ECS, EC2, S3, Lambda, and ensuring optimal functionality and reliability for end-users. Implemented a message-driven architecture using ActiveMQ to facilitate real-time communication between microservices. Supervised and collaborated with a team of 5 developers, following Agile methodologies, using JIRA for project management and Jenkins for CI/CD integration.• Developed interactive Power BI reports and dashboards, significantly enhancing data-driven decision-making processes.• Conducted thorough technical analysis of user stories to devise optimal solutions. Proactively engaged in troubleshooting, debugging, and upgrading applications to ensure high responsiveness and efficiency. Implemented effective exception handling mechanisms and using loggingframeworks like Log4j and SLF4J. • Utilized Spring Batch for batch processing, Spring Security for robust authentication and authorization, Spring Cloud for building distributed systems, Hibernate for ORM, and Spring Data JPA for efficient data access in developing robust backend services.

Hyderabad, Telangana, India

• Developed and maintained web applications using ASP.NET MVC, Entity Framework, Spring Boot, ReactJS, Angular, and MongoDB. Utilized the Razor view engine in ASP.NET for dynamiccontent rendering, and employed Spring Boot’s auto-configuration and embedded servers for rapid development. Leveraged ReactJS and Angular for building interactive and dynamic user interfaces. Applied comprehensive testing strategies using JUnit and Mockito for Spring Bootapplications. For front-end applications, employed Jest and React Testing Library for testing ReactJS components.• Implemented a message-driven architecture using RabbitMQ to facilitate real-time communication between microservices. Applied Razor encoding techniques, parameterized queries, and Spring Security configurations. Applied OAuth for authentication and authorization in bothASP.NET and Spring Boot environments, ensuring 100% compliance with security standards and enhancing application security.• Created and optimized SQL Server stored procedures, functions, and triggers, achieving a 30% increase in data retrieval efficiency. Utilized MongoDB for NoSQL data storage, and optimized queries and indexing strategies to enhance performance. In Spring Boot applications,leveraged Spring Data JPA and Hibernate for efficient CRUD operations.• Documented REST APIs using Swagger facilitating developer onboarding and reducing API-related issues by 40%. Utilized Azure infrastructure for deploying and managing microservices-based applications, including ASP.NET, Spring Boot, and front-end services. Ensured scalabilityand deployment consistency using Azure services such as Azure App Services and Azure Kubernetes Service.• Managed continuous integration and deployment pipelines using Azure DevOps, ensuring smooth and efficient releases for both ASP.NET and Spring Boot applications. Used Git for version control and employed Git branching and merging strategies, reducing merge conflicts by 15%.

Master Of Science - Ms, Computer Science, 3.77

Bachelor Of Technology - Btech, Computer Science And Engineering, 84.31%