Microsoft | May 2020 - August 2020
• Evaluated various model architectures to improve the Ad Click predictions for Bing’s Native Ads Team by incorporating event time into sequential models. • Improved the AUC by 8% from 88% for Ads Reranking task • Secured 2nd place in Microsoft’s C&AI Hack for Good hackathon for building a Microsoft Team’s Tab Application to provide an interactive virtual class environment leveraging Azure’s Cognitive Services as well as Bing APIs.
Senior Software Engineer
Samsung | June 2017 - July 2019
• Built Android apps to run short text classification models that are fast & lightweight (<1MB RAM) on Samsung devices. • Implemented a JNI layer to run native code as well as improved the preprocessing pipeline on devices to run 20% faster • Developed scalable ML algorithms and production pipelines to predict smartphone users’ demographics & interests based on app usage, geolocation, browsing behavior and music/video usage as obtained on Android devices. • Built a Generic Recommendation Platform, with a plug & play architecture for the addition of any new services to generate recommendations right off the bat. • Published 3 Research Papers and filed 2 Patents as well as mentored interns.
VMware | May 2016 - July 2016
• Developed a prototype to integrate Mobile Device Management agent across multiple Smart TV platforms including Android, Tizen, FireTV & WebOS. • Created a web-based application using AngularJS, NPM, Bower & Gulp • Architected real-time processing using Apache Kafka and Spark Streaming to extract relevant information about meetings, using Outlook’s REST APIs.
State University of New York at Stony Brook
Computer Science, MS | May 2019 - December 2020
IIIT, Hyderabad (International Institute of Information Technology)
Computer Science, B.Tech | 2013 - 2017