Feb 2025 – May 2025 · 3 mos · Bengaluru, Karnataka, India · On-site

Dec 2022 – Feb 2025 · 2 yrs 2 mos · Bengaluru, Karnataka, India · On-site

• Initiated the development and implementation of move-based fraud detection rules for rummy based tournaments to prevent collusion in tournament games, thereby catching more than 6000 fraudsters. Leveraged Neo4j to create link between fraudulent user pairs as a proactive measure for future games and applied user blocking as a reactive measure.
• Added missing fraud moves and ensured alignment with predefined logic on the new fraud move tagging service, establishing it as the source of truth for all fraud moves. Enabled Data Engineering teams to consume events from the service, leading to the dismantling of their pipeline and reducing operational costs by up to $4000 per month.
• Led the migration of CI/CD pipelines for all the services owned by our team from Jenkins to Bitbucket Pipelines, reducing Jenkins costs. Contributed to the organization's transition to Bitbucket Cloud as part of a company-wide shift from various code repositories and build pipeline tools.
• Engineered and integrated Kafka-based data pipelines to stream link creation and user type change events for real-time rule analysis by the Fairplay team prior to user blocking. Created and configured Kafka topics, and defined event schema contracts with downstream services to ensure seamless integration.
• Integrated AWS Lambda with S3 to trigger bulk type change operations, leveraging the Bulk API for seamless user type updation and minimizing processing time.
• Engineered a configuration management system to enhance rule configurability. Leveraged Zookeeper for distributed configuration storage and management, ensuring scalability and flexibility in rule application.

Jan 2022 – Jun 2022 · 5 mos · Gurugram, Haryana, India · Hybrid

• Worked on converting a REST API to GraphQL API which would go on to impact the product being used globally (US/IN/JP).
• Decreased the number of redundant calls being made to underlying database to minimum, thereby saving cost of execution. Also, resolved the problem of over-fetching.
• Worked on code refactoring to bring about cost reduction of every query execution, decreased latency by over 60%.
• Used Amazon RDS as storage and Spring Boot as backend framework.
• Also worked on AWS Stack like EC2, and services like SQS and SNS.
• Followed ACBDA design pattern for writing code, and wrote Unit Tests to ensure code coverage remains 100%.