Architected and built a multi-tenant, distributed, backend service that serves as the resource manager for clients’ distributed applications’ (i.e. Spark and Hive) workers with >99.9% availability.

Designed, implemented, and launched EMR Serverless’ custom images, enabling customers to install/configure packages optimized for their workloads and integrate with current CI/CD best practices. 100+ customers successfully submitted 5000+ jobs within the first two months of the launch.

Improved container start time by reducing Docker images pull times by 90%. Worked cross-functionally with other AWS service teams and the Amazon Linux team to upgrade a core Docker dependency to achieve this.

Implemented pre-initialized capacity support, a feature to reduce application start time, on EMR Serverless’ resource manager service.

Collaborated with downstream services to overcome capacity constraints brought on by heavy users, those who consumed at least 4,000 vCPU’s concurrently, of EMR Serverless.

Led the implementation of operational metrics collection and monitoring dashboards in parts of EMR Serverless to improve debugging and proactively identify issues.

Developed a system that maps over 30 billion products to an internal brands database daily to discover products and brands not present in the Amazon Catalog and to determine brands’ selling potentials.

Maintained a platform built on top of AWS Mechanical Turk to allow users to consolidate worker responses manually, increasing accuracy of responses when compared to the default string comparison.

Developed a feature to allow users to choose if a workers gets paid based on quality, reducing our users’ costs.

Developed a feature to retrieve responses before all questions (1000+ per batch) were answered, reducing the wait time from days to minutes for downstream consumers

Coordinated the handoff of an internal platform to another team and documented parity requirements for their effort to consolidate with their own platform to unify functionality across multiple orgs.