Design and implement various components for Hulu Ad Platform micro-servicesOne of core engineers that develop and launch Disney Ad Platform in 2022Develop and support a in-house experiment platform for auction experiment

Contribute to multiple Ad product launches as an engineer and data scientist, implement big data and machine learning solutions for challenge problems using Amazon Scale data. Amazon Sponsored Brand Ads auction optimization using big data analytics, machine learning and real time prediction, as well as engineering implementation in Ad server under milliseconds time constrain.Inventory forecasting and yield management related products, build tools for sales with build in forecasting insight; Amazon Ads pricing research; backend infrastructure for Twitch video ads forecasting. Develop machine learning powered RTB bidder for Amazon Display Ads Develop experiment and optimization for Amazon Display Ads

Work as backend engineer on Samsung Smart TV Ad platform global launch

develop company’s first big data Data Management Platform and user segmentation application using Java, Hadoop , Pig and Python.

• Proposed and implemented a large scale clustering algorithm for IP geolocation, which as a new machine learning based method sharpen Neustar’s existing IP Geolocation database. (The research result was accepted by Hadoop Summit 2014; Published on Com.geo 2013, and cited by US DOE)• Implemented a Hive UDF that providing insights of mobile device market share for ISP, which is a core API for Neustar mobile market share analytical reporting product.• Research on sparseness network learning and inferring missing relationships between network entities, published on BigData Gathering in WWW2014

Designed and implemented a stable iterative message passing map/reduce algorithm for scoring user influences based on ShareThis large scale sharing network