AWS OpenSearch Search Performance Team.

● Engineered a robust Shop Portal utilizing Kotlin and Spring Boot, providing users with a seamless experience for browsing, purchasing products, and monitoring order statuses and shipping updates.● Architected and executed high-performance RESTful APIs to ensure smooth data exchange and communication between front-end applications and back-end servers.● Managed a PostgreSQL database on AWS, leveraging Spring Data JPA for efficient CRUD operations and improved data handling capabilities.● Established AWS CodePipeline and CodeBuild infrastructure to facilitate Continuous Integration and Continuous Deployment (CI/CD) processes, expediting development timelines and enhancing code quality.● Streamlined application performance and scalability by deploying containerized applications to Amazon Elastic Container Registry (ECR), optimizing storage and retrieval processes.

● Created a web application hosted on AWS to track and analyze the performance of the Empirical Bayes Ranking model for Amazon Search to monitor trends, validate enhancements and reduce breakages.● Established full stack architecture including front-end using Typescript with React-hook, back-end using NodeJS, ExpressJS and Java, with an AWS Relational Database Service as the main database.● Manipulated nearly 9 million data records to build a pipeline to automatically read data, analyze trends, and visualize charts, saving up to 300 manual hours yearly and eliminating data transfer errors.

●Designed and implemented A/B test analysis for advertising feature launches in the short-video application Wesee. Analyzed daily data using SQL and Python.●Visualized data by building 15+ reporting dashboards using Tableau.●Conducted industrial and competitive research and proposed optimization schemes to improve users’ viewing experience.