Machine Learning Engineer

Currently an applied ML researcher working on novel machine learning problems. I have a background in signal processing and C++ software development. have won the “Best Paper” award at the UbiComp 2021 conference for my work on FluSense, a contactless syndromic surveillance platform for influenza-like illness. I have also interned twice as an applied scientist at Amazon Alexa, where I worked on multimodal emotion detection and personalized recommendation systems. I am currently pursuing my Ph.D. in computer science at the University of Massachusetts Amherst, where I am focusing on COVID prediction using contactless sensing. I am looking for jobs in startups and other very innovative places that can leverage my skills and experience in applied ML. (I am a permanent resident of the United States under EB2-NIW)