Adding values for Youtube Premium member

● Led Youtube Premium Frontend development

● Youtube Premium Member Hub

● Youtube Premium Offer Program

● Youtube Premium Achievement System

● Youtube Premium Offline Recommendation System

If you are a Youtube Premium member, check out my work: https://www.youtube.com/premium_benefits

Caspar.ai - Immersive Smart Home Living Experiences

● Led integration of Amazon Alexa, Google Home and Apple Homekit into main smart home product and built Caspar Oauth2.0 service, serving thousands of resident apartments and model units

● Deployed Python 3 Caspar Alexa skill in serverless AWS Lambda service to fulfill the Alexa requests

● Developed ACL based Auth microservice in Node.js, which serves three Client-facing web apps

● Developed RESTful Remote Control APIs in Node.js for Android / IOS App and 3rd party clients

● Built gRPC and NATS infrastructure in Python 3 for the agents running on Caspar Hub to communicate with each other via Protobuf and Pub/Sub mechanism

● Created multiple Python 2/Python 3 based apps that processed sensing data and received users’ interactions to activate smart devices, running in thousands of resident apartments and model units

● Dockerized existing and new web services and deployed them to AWS with Terraform

● Set up and maintained Jenkins CI/CD pipeline for part of testing and production codebases

● Improved and managed Vault cluster with Consul and S3 as storage backend for key store management

● Managed Vault Roles to isolate the permissions for different teams, people and machines

Developed a static analysis tool in Java to automatically analyze the implicit service invocation, hence to help identify the main reasons for its popular usage in Apps

Analyzed 3924 Apps using the tool to find 24.2% vulnerable candidates with potential to crash by implicit service invocation

Designed and implemented an automatically resolving tool with reverse engineering technique, which achieved 100% successful rate on removing the defects

Worked with the team to develop a system to automatically log and monitor status of smart meters in a large metropolitan area, improved the maintenance efficiency

Built the component to log and collect metrics data from smart meters and send them to database(Java)

Designed the data model and create schemas in SQL Server to help store and apply various queries on the collected data more efficiently

Designed and implemented the interactive client application using AWT(Java), to provide flexible visualization of the generated reports in different kinds

Performed integration test of the system on smart meters from multiple locations to ensure the reliability