Leading prevention, detection and mitigation mechanisms for fraud and compromise at AWS

Building teams to fight fraudsters using advanced machine learning and next generation software platforms. Leading the fraud evaluation, enforcement and data platforms.

Built a solution to identify and disable resources used by fraudulent accounts.Built a solution to identify fraudulent resource usage patterns and resource limiting.

Built a low latency investigation platform where investigators view a large amount of account data and make enforcement decisions.

Pursuing a Masters Degree in Computer Science.

Designed and implemented a debug shell thread which runs along with the other component threads of the tekelec Diameter Signalling Router. The debug shell provided a network accessible command line interface to view run time data structures and tables making the debugging procedure simpler.

I helped develop a dashboard application for the AWS fraud detection team. This tool helped identify fraud trends using varied metrics based on mathematical models

Worked on developing software for next generation cellular networking components on multi-core network processors.Technologies: IMS, WiMAX, LTE

Worked on the design and implementation of the DLNA (home networking) component called the M-NCF which would act as a bridge between wi-fi and bluetooth networks