Software engineer working on user-facing features used by a large global audience. Collaborated closely with teams like AR, Camera, Maps to ship smooth, reliable experiences. I enjoy simplifying complex systems, improving performance, and building things that scale well over time.

Worked on cloud infrastructure for a highly scalable, data-intensive healthcare pipeline. Reduced transfer latency for large DICOM files by implementing direct uploads to AWS S3 using pre-signed URLs and Lambda functions.

Built a Java service to validate incoming FHIR data, ensuring data integrity and seamless integration with AWS HealthLake. Improved system responsiveness by optimizing authentication token access with DynamoDB.

Implemented CloudWatch metrics and dashboards for real-time monitoring, and automated deployments to ECR and ECS using CI/CD pipelines to improve reliability and speed.

Contributed to saving up to 10% of the organization's AWS and Splunk costs by developing an AWS cost-tracking dashboard. Architected an AWS pipeline to get cost data from AWS Billing to S3, and then trigger a lambda function to send data to the API endpoint. Designed Python APIs and Django Orchestrator to send data to the time-series database, InfluxDB. Created a Grafana dashboards to visualize the costs associated with each AWS service and usage type.