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Infra platform• Develop datacenter planning platforms for TikTok.

Meta Business Group• Worked on Meta Business Suite for Affiliate Facebook Tool, implemented different pages with in-house UI components such as card, list, box and sheet. Familiar with designing and styling the page according to Figma. • Experienced with React, Relay, for frontend render and GraphQL, Ent Framework for backend data fetching. Familiar with multiple Relay hooks such as usePreloadedQuery so that backend data fetched during the entry point loading. Optimized pages loading time under Facebook Comet Infra.• Implemented Reel GraphAPI endpoint for 3rd party developer with Hacklang. Experienced with Graph Node and Graph Edges. Exposed Reels specific metrics through the api so that 3rd party developers can consume these metrics such as Likes, Reactions, Play time, etc.• Worked on GraphAPI endpoint logger and Unidash dashboard, utilized logger and database query to generate widgets to showcase the Reel GraphAPI endpoint usage. The daily usage of the endpoint is around 300k requests.

• Experienced with Oauth2 auth process and Redis cache, designed backend feature with LinkedIn APIs, which allows users to automatically draft and post LinkedIn posts into their LinkedIn profile timeline by click button from PeerInSights website. Increased user volume and motivation to use our site. (Java, Spring)• Implemented GDPR deletion feature for PeerInSights users when users leave our system and request data deletion, which includes frontend UI with Reactjs. Backend deletion logic with SpringMVC controller, service, and data layer. Database Oracle PL/SQL scripts to automatically delete user information from multiple database tables. (Java, Spring, React, SQL)• Developed Readership Analytics feature for user browse website tracking tool based on the Google Analytics data, migrated from Oracle database to ElasticSearch, reduced 30% backend endpoint response time. (Java, Spring, ElasticSearch).• Implemented AWS Lambda function which creates and update ElasticSearch Index, the daily Lambda job runs and specified time and loads data from Google Big Query to ElasticSearch Index which saves 50% deployment time. (AWS, Lambda function, ElasticSearch, Java).• Familiar with Docker, Maven for daily development, Splunk for Kubernetes log monitoring and Postman, Chrome for application debug purpose. Experienced with writing high-scalability and high-performance code for millions of users, strong problem-solving and communication skills to produce high-quality work.