eCommerce - Seller Platform

"Climate Pledge Friendly" program - (2022, 2023)• Boosted the system capacity by 10x for 2022 Amazon Prime Day, and operated it at high availability• Expanded the program scope by developing developer APIs to Amazon selling partners• Launched the program in 9 new marketplaces• Led the team on achieving sustainable operational efficiency / reducing operational burden• (Java/JavaScript/AWS/System Performance/Scalability/OpenAPI)"BOM (bill of materials) search" SPA - (2021, 2022)• Built a low-latency authN+authZ mechanism for our APIs, which compliant with OIDC and OAuth-2.0 • Reduced the auth token refreshing by 60%, and integrated the authN+authZ mechanism with internal permission control systems• (React/AWS-IAM/AWS-Cognito/LDAP/POSIX/CORS)Waste and Donation Data Dataset & Platform - (2020, 2021)• Built data pipeline infrastructure including ETL jobs, and automated data collection process from 3rd parties and each Amazon FC, to provide datasets in uniform baseline• Visualized datasets with AWS server-less query engine and QuickSight and to track business goals month over month• (AWS-S3/Lambda/EFS/Glue/Athena/QuickSight)

"Frustration-Free Packaging" (FFP), "Ship In it's Own Container" (SIOC) program -• Mitigated over 80% of Pack Non-compliance issue at Amazon fulfillment centers by designing an asynchronous native-AWS data pipeline solution (2020)• Reduced over 2 billion shipping boxes since 2019, with an average of 15% year-over-year growth by building the next-generation Packaging Certification platform in native-AWS architecture, to improve overall scalability and engage more Amazon vendors on packaging optimization (2019)• Migrated over 30 APIs along with the service database from Oracle (MyBatis, Oracle SQL) to AWS Aurora (MySQL) with limited down-time (2018)• Stabilized the system on the operation side with initiatives and plans to achieve business goals (2017-2020)

• Topics: Music Emotion Recognition, Recommendation System• Technical keywords: Sparse Coding, Dictionary Learning, Affective Computing, Music Signal Analysis• Interdisciplinary research of Machine Learning and Music Signal Processing• Completed three different research projects and published one conference paper