Amazon Advertising Streaming TV

• Transformed document pipelines to process tens of millions of records monthly. Eliminated bottlenecks using a scalable pub/sub infrastructure with SNS and SQS.

• Achieved a 10x boost in loading and filtering performance by revamping the Question & Answer feature through pagination, server‐side filtering, and server‐side caching, effectively serving thousands of internal users.

• Elevated team‐wide engineering productivity through the optimization of the Redux Store using the Redux Toolkit Library, leading to a significant reduction in code volume.

• Successfully develop the scheduling functionality for our Android application that allowed patients to set/change their upcoming appointment for their medical trial, and allowed that information to be updated in real-time to our back-end via RestAPI call.

• Successfully integrated Server-Sent Events methodology, which allows our Android application to pull data from the server via RestAPI on demand, thus enabling the robot to get/process new data through conversation with patients in real-time.

• Lead the production triage process to detect, plan, and fix existing bugs in the system.

• In charge of the deployment process to bring new features and contents to patients.

• Expanding the robot code base and creating new features with the goal to best serve our patients during the interaction with our robot Mabu.

• Technology: Java, Javascript, Python, Gradle, OpenCV, Jenkins, Jira, RestAPI

• Using OpenCV package, machine learning library to integrate the Face Recognition feature for the robot Mabu so that it can identify the known user and generate proper conversation.

• The feature is developed using Android Studio, OpenCv package, Dlib, TensorFlow

Language: Java, JavaScript, HTML, Cpp.