• Designed and documented VPN project framework with network flow and automation flow, and implemented the automation process to build VPN between devices

• Implemented Edge Connection as a service to connect between any colocation and customers’ site, integrated automatic connection with REST API, improved connection latency

• Built logging systems to track all the CRUD operations, and then saved logs on both MongoDB and Elasticsearch via Logstash plug-ins installed in Docker, provided assistants for the system debugging

• Implemented distributed system like for Kubernetes cluster and KubeEdge, supported metadata synchronization between cloud and edge

• Developed frontend UI using JavaScript and React with react-jsonschema-form, implemented UI components including modal creation and form validation

• Used Spark to work on big data engineering and big data analysis on Hive database with more than 100GB of live data

• Upgraded Ubuntu servers and set up Yarn services, improved site reliability

• Developed Airflow and applied it for scheduled jobs, provided a more organized framework for running factdata analysis

• Implemented RESTful API functionalities by calling Lambda functions with Python on Amazon AWS

• Managed CloudWatch, API Gateway running on Amazon Virtual Private Cloud and tracked logs for live issues

• Used Git version control tool to coordinate project status and procedures and manage different Git versions on AWS CodeCommit

• Performed data engineering with Python - manipulated SemRush API to form research database, pulled out 200MB of data based on relative keywords in paid search market, and then applied SQL to join data from related industries

• Designed A/B test frames to test outcomes under different incentives for similar testing groups, cleaned up more than 3000 contacts using data engineering methods

• Utilized Machine Learning models to predict index related to paid-search digital market of different industries, including Logistic Regression and Linear Regression; the model predicted a positive prospect for entering the new market

• Constructed regression and cluster models to evaluate whether the industry is suitable for applying new Blockchain technology