Amazon Web Services, Amazon Aurora Storage, RDS Backend - Palo Alto, CA

● Developed and maintained core backend services for Amazon Aurora, a high-performance distributed

relational database.

● Led architecture improvements to increase system throughput and reduce resource usage (CPU,

memory, I/O).

● Delivered major features including Enhanced Binlog for Aurora PostgreSQL, improving replication and

recovery through distributed log storage.

● Diagnosed and resolved critical production issues in a high-availability, live cloud environment (over

1M+ RDS instances), including writing bugfixes in C++.

● Built internal tooling in Python (log parsing, data aggregation, and incident triaging) to automate Oncall

tasks and improve engineer response time.

● Refactored core systems for transition from Aurora Managed Storage (AMS) to Aurora PostgreSQL

(APG), enhancing test coverage and system reliability.

● Extended core Aurora Storage features to support Aurora Serverless, enabling dynamic scalability and

improving performance for variable-load workloads.