Summary
Overview
Work History
Education
Skills
Websites
Timeline
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KEJO SHIEH

Seattle

Summary

Dynamic Software Engineer with a proven track record at Amazon, specializing in cloud architecture and performance optimization. Successfully designed an AI-powered data lineage tool, enhancing incident management and reducing resolution time. Adept at A/B testing, I drive impactful solutions that elevate user experience and operational efficiency.

Overview

6
6
years of professional experience

Work History

Software Engineer

Amazon
Seattle
06.2020 - Current

AI-Powered Data Lineage Graph Tool to Trace 1,200+ Datalake Tables

  • Designed and implemented an internal tool using the Model Context Protocol to auto-generate a lineage graph across 1,200+ AWS data lake tables.
  • Solved a critical on-call challenge involving deeply nested dependencies; some tables required 40+ joins to derive, making incident tracing extremely difficult.
  • Enabled fast impact analysis for the data team during outages, significantly reducing time to resolution, and preventing cascading failures.
  • The tool became a core asset in the team's on-call toolkit and is now routinely used in production incident triage.

Reduced Functional Cookie Size by 67% on aws.amazon.com

  • Led an urgent initiative to shrink two large functional cookies to 33% of their original size across a global multi-DNS architecture, handling 10M+ daily requests.
  • Designed and evaluated 12 architectural solutions in under 3 days; drove executive alignment, and led implementation to completion in one month while strengthening monitoring and alarms to ensure safety and observability.

Advertising Cookie System for aws.amazon.com

  • Architected and implemented a scalable advertising cookie infrastructure, processing 5M+ daily requests, launched with zero downtime.
  • Applied the Factory Pattern to unify logic with functional cookies, achieving 60% code reuse across cookie generation and validation layers.
  • Personally implemented major components, and delegated minor tasks to junior engineers with code reviews and guidance. Integrated pressure testing, canary rollout, and real-time monitoring for a smooth production launch.

Family-Friendly Ad Filter System for Prime Video

  • Sole designer and primary implementer of an ad filter that excludes sensitive ads (e.g., medical, adult content) from family-friendly shows, flagged by the Prime Video Catalog.
  • Optimized for less than 20 ms on top of the original 800 ms latency increase across 400 million daily ad requests; integrated with minimal disruption to existing services.
  • Delegated minor tasks to SDE1, and ensured consistency through reviews. Gradual rollout with zero production regressions.

Launched Ad-Supported Prime Video Across North America and Europe

  • Led the launch of Prime Video Ads Publisher Rules across NA and EU markets, collaborating with regional and product teams. Managed 10+ ad pacing and capping strategies to balance user experience with monetization.
  • Conducted 20+ A/B experiments to validate algorithmic trade-offs, including user churn, engagement, and revenue.
  • Identified & implemented algorithm optimization that boosted 2% of the whole Prime Video revenue, which is 20M USD annually.

Backend Developer

Nordstrom Inc.
Seattle
06.2019 - 06.2020
  • Maintained and improved server-side APIs for Nordstrom's online shopping platform serving over 1M annual users.
  • Worked with AWS services including CloudWatch, CloudFormation, DynamoDB, EC2, and S3.
  • Wrote unit and integration tests to ensure API robustness; introduced automated Postman scripts for QA.

Education

M.S. - Computer Science

Oregon State University
Corvallis, OR
01.2019

B.S. - Commercial Design

National Taiwan University of Science And Technology
Taipei, Taiwan
01.2013

Skills

  • Data analysis
  • API development
  • Cloud architecture
  • Performance optimization
  • Incident management
  • A/B testing

Timeline

Software Engineer

Amazon
06.2020 - Current

Backend Developer

Nordstrom Inc.
06.2019 - 06.2020

M.S. - Computer Science

Oregon State University

B.S. - Commercial Design

National Taiwan University of Science And Technology