ZHE TANG

Software Development Engineer II at Amazon - Enterprise Document Management

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%.

Software Development Engineer II at Amazon Omics

Contributed to the launch of Amazon Omics, building 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.

Software Development Engineer at Amazon Data Center Automation

Built distributed systems to automate data center operations, improving efficiency of internal workflows. Developed a COVID-19 testing scheduler used by employees, supporting safe return-to-office operations. Delivered full-stack features using AWS and React, improving usability and system performance. Mentored interns and contributed to design reviews and production support.

Graduate Research Assistant / Teaching Assistant / Course Redesign Team at UC San Diego

Conducted interdisciplinary machine learning research with the Cognitive Science department to predict patient MoCA scores. Worked on EDA signal analysis and drawing-pattern analysis. Research supported by IBM funding. Partnered with faculty to redesign course structure, assignments, and supporting systems for ECE 15. Built grading and testing infrastructure in Python with C integration, and designed programming assignments used in the course. Led planning and dependency design for three of the five programming assignments and supported students through office hours and grading.

Electrical Engineering Intern at AMEC, Shanghai

Built a gas box testing tool to validate pressure and volume requirements for etching equipment. Programmed the testing tool using Ladder Logic to improve testing workflow and reliability.

Software Development Engineer II at Amazon Enterprise Document Management

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%.

Software Development Engineer II at Amazon Omics (AWS)

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.

Software Development Engineer at Amazon Web Services – Data Center Automation

Built distributed systems to automate data center operations, improving efficiency of internal workflows. Developed a COVID-19 testing scheduler used by employees, supporting safe return-to-office operations. Delivered full-stack features using AWS and React, improving usability and system performance. Mentored interns and contributed to design reviews and production support.

Graduate Research Assistant / Teaching Assistant at UC San Diego

Conducted interdisciplinary machine learning research with the Cognitive Science department to predict patient MoCA scores. Worked on projects involving EDA signal analysis and drawing-pattern analysis. Led course redesign for ECE 15, building grading and testing infrastructure in Python with C integration, and designing programming assignments. Supported students through office hours and grading.