Led the integration of the third-party payment provider Adyen into QuickBooks Online,

enabling seamless payment acceptance for United Kingdom customers and supporting

over 10,000 small businesses in the region

Owned an initiative to route high-traffic endpoints into dedicated pod deployments within

Kubernetes infrastructure, enabling scalable traffic management without impacting the

entire service. This increased TPS provision for clients from 4,000 to 8,000 without

overwhelming the main service pods.

Software engineer on the Search and Recommendations team.

Developed highly scalable APIs (REST and gRPC) using Java and Spring Boot to optimize search functionality using Elasticsearch, which improved query filtering and response times. This was utilized by 9 upstream applications, handling 600 requests per second.

Led Elasticsearch migration from version 7 to 8, significantly reducing query latency. Orchestrated cross-team workflows, directly enhancing system performance and responsiveness.

Innovated a data quality monitoring tool leveraging Python, Google BigQuery and Airflow for early detection of discrepancies, reducing production incidents and mitigating negative revenue impact.

Designed and managed efficient data pipelines delivering real-time updates to Solr and Elasticsearch indices, processing millions of daily messages. Integrated with diverse upstream APIs and Kafka topics, ensuring a continuous flow of accurate and up to date information.

Created customized dashboards with Datadog for data visualization, and implemented proactive alerts for immediate pager notifications, ensuring swift response to anomalies.

Enhanced performance and scalability by refactoring the legacy monolith application into microservices using reactive frameworks in Java (Webflux). This expedited the launch of new marketing campaigns and precise targeting of the intended audience..

Created a Spring Boot-based custom testing framework for end-to-end microservices integration and load testing, significantly boosting developer productivity and reducing functional testing time from hours to minutes.

Utilized JOOQ for expressive queries, streamlining segmentation support and replacing cumbersome SQL queries with a more efficient approach.

Developed streaming services to process tracking using an event driven architecture utilizing AWS.