● Led the design and development of a Kafka-based high-throughput streaming platform, serving as the backbone for real-time ETL processes and data pipelines, ensuring scalability and efficient data management.● designed seamless data flow across multiple Kafka stream partitions, ensuring accurate aggregation and processing of diverse data sources● developed a translation service for trading data, streamlining data integration and data modeling, facilitating usage in downstream data lakes.● Implemented advanced data enrichment pipelines, augmenting trade data with market insights, enhancing data quality● Established a robust data governance model, ensuring data access controls● Leveraged KSQLDB for data aggregation and warehousing, enabling the creation of a secure,scalable, and accessible data warehouse environment that supports comprehensive queryingand data governance policies.● Used Spring Boot for the development of RESTful APIs and a gRPC interface, significantlyimproving data exchange and interoperability across microservices.● Developed a custom dashboard to enhance data analytics on processed and aggregated trade data.Gen AI Automated PR Review● Developed a GPT-4 model to automate Git pull request reviews, ensuring code quality and adherence to standards.● Enabled automatic change requests on code to enforce coding standards.● Integrated AI review directly into development workflows for efficient, real-time feedback.

● Developed an AI condition based maintenance system for ships.● Developed a model to predict the end of life of engine parts, resulting in saving millions in maintenancecosts.● Focused on training and testing the prediction models, utilizing Java, Spring, and the Weka AI library toaccurately predict the breakdown time of parts.● Achieved significant prediction accuracy, with predictions being only 15% off the actual breakdowntimes.● Participated in code reviews, ensuring quality and consistency across the system.

● Collaborated in building an eCommerce website for a supermarket chain to allow users toplace orders. online and track delivery orders.● Used ASP.NET MVC as the web application framework, integrating with a MySQL database forthe backend storage.● Implemented performance tests, unit tests, and integration tests.