About

Lea Quan is a talented Software Engineer Intern at Facebook with a strong background in computer science and experience in delivering high-scale data services. With almost two years of relevant experience, Lea has demonstrated her expertise in Java and Android, as well as her proficiency in AWS, Elasticsearch, and microservices. At Facebook, Lea has been working on three Android projects in Java to provide a more seamless experience for Instagram users with multiple accounts. She has adapted the fragment's display based on the activity results using various event listeners, callbacks, and life cycle methods. She has also used concurrent user sessions to send requests to a brand new API and handle multiple responses using a thread-safe debouncer. Additionally, Lea has created customized ripple animation and haptics by using a gesture detector to boost the visibility of Facebook's feature. She has launched A/B tests to millions of users and closely monitored key growth metrics by running various queries on Deltoid. Prior to Facebook, Lea worked as a Software Engineer Intern at Salesforce, where she was part of a team that delivered a high-scale data service built on AWS DynamoDB. She delivered end-to-end full text search for use in Salesforce Order Management product and integrated it with an internal search microservice based on Elasticsearch. Lea implemented a service that asynchronously polls data from DynamoDB streams and pushes it to the search engine for indexing. She also exposed the search feature as a REST API on the data service using OData protocols and built client functions to wrap search API endpoints with mock and integration tests. Lea's academic background includes a Bachelor's degree in Computer Science from the University of Washington, where she also worked as a Data Structures Teaching Assistant. She planned and led weekly lessons on data structures to a class of 30 students, graded assignments and exams, and provided detailed feedback on good coding practices and debugging strategies. Lea also led the staff team to identify struggling students and provide extra academic support to sustain the pass rate. Lea's tech stack includes Software Engineering, Search, AWS, Java, Android, Elasticsearch, Microservices, Salesforce, and Integration. She is a quick learner, a team player, and a problem solver who is always looking for new challenges to grow her skills.