ZHE TANG

Owned and scaled a serverless document platform handling 20M+ documents annually across 60+ countries, maintaining 99.9%+ availability. Designed event-driven pipelines using AWS serverless stack, reducing processing latency by 20% and improving system throughput. Implemented secure data workflows with fine-grained access control, improving audit coverage and reducing unauthorized access risk. Developed full-stack features for on-demand document generation, reducing manual effort by 40%. Enhanced observability with logging and monitoring, reducing incident detection time by 30%.

Owned and scaled a serverless document platform handling 20M+ documents annually across 60+ countries, maintaining 99.9%+ availability. Designed event-driven pipelines using AWS serverless stack, reducing processing latency by 20% and improving system throughput. Designed secure data workflows and fine-grained access control, reducing unauthorized access risk and improving audit coverage. Developed full-stack features for on-demand document generation, reducing manual effort by 40%. Improved observability with logging and monitoring, reducing incident detection time by 30%.

Contributed to the launch of Amazon Omics, a cloud service for storing and analyzing large-scale biological data. Built ETL pipelines to ingest and process large-scale genomic datasets, improving data processing efficiency by 25%. Developed a CLI tool to streamline dataset management and workflow execution, reducing developer setup time by 30%. Improved system reliability and data security for regulated healthcare use cases, contributing to high-availability production systems (99.9%+ uptime). Worked with cross-functional teams to deliver production-ready features for external customers.