• Project lead in building the next generation of monetization platform, which processes 22 billions of billing records daily. Led 8+ engineers to migrate batch pipeline to streaming and rewrote the calculation algorithm. Unblocked hundreds of millions revenue for Cloud.• Technical lead of the Monetization Calculation team (12 engineers). Responsible for leading design and execution of projects, facilitating team meetings, setting engineering OKRs, serving as POC for complex domains and mentoring junior team members.• Led the scoping and alignment across 4+ teams to deliver a new pricing mechanism for Cloud Support, which now has 4 millions of revenue per month.• Defined the testing strategies for monetizer, led 4+ engineers to develop a diff testing framework and debugging tools, shortened the development turnaround time from weeks to days.

• Led project to support sharing serverless applications across AWS organizations. Owned the end-to-end development using AWS cloud services and React, Redux, Node.js.• Developed new commands for AWS CLI using Python Click to support publishing serverless applications.• Wrote automation tools to enable one-week provisioning of AWS service pipeline and expanded it to three new regions.• Developed RESTful APIs using AWS Lambda, API Gateway and DynamoDB. Enabled data publishers to modify largedata sets, track the workflow progress and review revisions.• Built shadow testing tool for data migration, helped the organization to migrate 500+ tables from Oracle to PostgreSQL.

• CA for COMS W4160 Computer Graphics - 2016 Spring• CA for COMS W4111 Introduction to Databases - 2016 Fall• Hold weekly office hours for lecture content explanation and assignment consultation• Grade course assignments and examsAwarded CA Fellowship for exceptional work. Comes with a tuition waiver.

• Created an analytic dashboard to measure and track Amazon website data, wrote the back-end services based on the Spring Web MVC framework, used jQuery JavaScript library with Bootstrap to build the front-end. • Wrote SQL queries to get data, and Python processing scripts to aggregate data and generate reports, Cron is used to schedule jobs.• Deployed the back-end server on AWS platform using services EC2, S3, Lambda and DynamoDB.

• Designed individually the whole framework of an intelligent traffic system, including image processing, data transmission and vehicle selection.• Solved the problem of image matching under complex backgrounds, reducing false matches to almost 0 when thousands of interest points detected.• Designed a rating system to select only qualified pictures based on the ratio of matched interest points.

• Developed an Android image recognition app based on OpenCV4Android SDK, with which users can easily know the features of their cars by taking photos.• Established the interactive panorama of the BMW Group Technology Office building in Shanghai, using krpano Panorama Viewer and Samsung Gear VR.• Optimized the online Chinese FAQ database of BMW cars, on which the BMW voice control system is based.