• Designed OpenApi in the application, facilitating seamless code generation for various programming languages. A unified reference system between backend and frontend to keep all the fields, models and apis in a single yaml file as well as validations for fields. This approach allowed dynamic adaptation to changes in one central location, significantly diminishing API inconsistencies and elevating overall maintainability.

• Orchestrated seamless connectivity between the application and third-party entities through GraphQL and RESTful APIs. Expanded the application's feature set to cater customer needs, ensuring efficient data exchange and enhancing overall functionality.

• Implemented search in the application using query DSL to allow users filter out the content based on their needs. It helped avoiding code repetition and increased its maintainability.

Scalable full-stack framework

Designed and implemented a framework to consolidate data from different distributed sources (HBase, Hive and RDBMS) into HDFS and developed a hybrid Software-as-a-Service for ad-hoc querying with a user-friendly web interface to access and query data from any device anywhere. The framework enabled seamless data integration from various resources and was validated with several test scenarios.

Comprehensive review of Multi-Tenant Software-As-A-Service (SaaS)

Surveyed state-of-the-art software-based classification methods of multi-tenant SaaS, focused on configuration/customization at application and middleware levels and data related aspects. It simplified selection of suitable multi-tenant SaaS models by introducing objective measures.

All phases of a database application

Designed and developed an application where users can add a new movie, a new critic and review, list the reviews for a movie and list the current movies with the highest ranking and where and when they are on screen. (SQL, JDBC and Java). Enhanced scalability of the application by implementing in Spark on Amazon EC2.