• Elevated courier location tracking data precision from once every minute to once every 5 seconds, and achieved a 27% cost reduction by transitioning a microservice to Quarkus and adopting Kafka over Amazon Kinesis.

• Saved $23.9M annually and reduced the cost per order by 18% by leading a crucial two-phase initiative enabling couriers to accept orders en route to the restaurant and collect from two different establishments before delivery.

• Achieved $9M in annual savings and reduced undelivered orders by optimizing the delivery process through seamless storage, retrieval, and deletion of delivered food images with S3.

• Identified and rectified a critical race condition, ensuring cost accuracy for couriers utilizing third-party insurance services and eliminated over $100k of overpayments.

• Contributed to the on call rotation resolving over 15 real time production issues and mentored two new engineers to the on call process.

• Refactored a legacy API to remove reused code and allowed for circuit breakers to disable specific endpoints in the event of outages or failures, enabling up to 88% of services to continue operation during an outage.

• Provisioned AWS resources using Terraform to ensure efficient and automated infrastructure deployment.

• Streamlined a scalable service through the consolidation of courier event systems in Canada, the United Kingdom, and Australia by rerouting API calls and refactoring legacy code.

• Reduced the cost of database maintenance by 8% through the efficient planning of Quartz jobs and MySQL scripts to automatically save and delete order objects within relational databases.

• Mentored 6 new employees in the Incubator program by imparting knowledge of the technologies and culture practiced and ensured the successful completion of small projects.