Specialties: Applying Machine Learning to sensor & mobile data, Hands on experience with low level sensors firmware, Designing & implementing large-scale distributed systems, Building location and proximity based experiences for Android/iOS (Geofencing / Positioning), Building scalable cloud backends using MVC principles.• Holder of 9 US patents like device identification using wireless fingerprints, building indoor presence technology etc. Published 14+ peer reviewed papers, with best paper awards.• Launched own company and built an AI driven Android assistant that can provide real-timeautomated tech support for any issue or task on your phone using crowd-sourced knowledgegraph• As technical lead at Shopkick, built and deployed the first large scale indoor positioningsensor network in retail stores across US. We deployed 20,000 sensors (ShopBeacons) acrossretail chains like Macy's, American Eagle, Old Navy and others. Owned the entire stack fromembedded firmware and mobile SDKs to overseeing manufacturing in China• Built machine learning pipeline at Shopkick for identifying location of shoppers in a retailstore based on their WiFi, Bluetooth and magnetic fingerprints. Achieved 95% accuracyusing 3 layer Neural Network and Support Vector Machines• Designed and implemented solutions for large scale distributed systems, including experiencewith city-wide commercial wireless networks, and production data centers using virtualizationtechnology. Worked deep into the kernel with low-level device drivers for novel mobile sensors and experience writing APIs to expose such functionalities for higher layer services
Listed skills include Leadership, Tcpdump, Embedded Software, Objective C, and 40 others.