Ethian Chiu

Led a 9-person quality team supporting Amazon AGI, translating evolving requirements into repeatable AI evaluation workflows and issue triage. Analyzed failure patterns across 3,300+ AI evaluation and QA tasks, reducing rework by 20% and raising first-pass accuracy to 95%.

Led a 4-person consulting team across operational analysis, stakeholder outreach, requirements, feasibility, and implementation planning. Proposed a new product under the company's brand, secured 2 verbal buyer agreements, and used sales forecasting to support a potential ~$500K annual revenue opportunity.

Engineered automated Python, R, and SQL data pipelines across 1M+ healthcare records, improving processing efficiency by 40% through validation, transformation, and feature engineering. Applied Boruta Random Forest and statistical methods to identify robust predictors and built validation dashboards to surface data-quality issues.

Led a 10-person product team, synthesizing 50+ customer/stakeholder interviews into product requirements, user workflows, UX decisions, and roadmap priorities. Defined inventory, demand forecasting, pricing, analytics, purchasing, and delivery workflows while coordinating product, operations, finance, and technical contributors.

Translated functional, security, scalability, and user needs into AWS cloud architecture, data models, workflows, and REST API integrations using Lambda, S3, DynamoDB, Cognito, and Amplify. Led a 10-person team through prototype delivery and designed an AWS-based cloud architecture for a virtual university platform.

Pursuing an MBA with a specialization in Business Analytics and Machine Learning.

Earned a Bachelor of Science in Information Systems with a minor in Computer Science.