• Built an event pipeline on Spark streaming to process 8 billion events per day with low latency.

• Built a people-based attribution system that uses a graph data store on Aerospike to store users and their activities support cross-channel and cross-platform attribution.

• Working in export-service to support the customers export their data.

• Developing an item authority application to consumes millions items of multiples vendor contributions, reconciles them against each other and then publish the final record for use by Sears and Kmart systems.

• Work as research assistant to study algorithms for geo – location, event detection and summarization problems and apply those algorithm in Twitter acquisition & Analysis System Project

• Work as developer for Twitter acquisition & Analysis System Project

Teaching