Shubham is a Senior Software Engineer in the recommendations team of Scribd - the Netflix for books and audiobooks. He is currently working on deep-learning embedding based item-item similarity recommendation models deployed at scale. Previously, he worked in the Machine Learning team of Zomato. He worked on projects involving NLP, deep learning based models for image classification & image quality assessment, scalable duplicate detection for text documents and images, restaurant rating algorithm and user credibility.
Review Highlights: Opinion Mining on Reviews IML17, ACM
A. Kushwaha & S. Chaudhary October 2017, Liverpool United Kingdom
A hybrid model for rule selection in aspect extraction. Reduce the aspect extraction noise of syntactic rule approach by using a multi-label classifier to select syntactic rules based on the sentence POS structure.
Bus Boarding Event Detection using Smartphone Sensors COMSNET16, IEEE
S. Chaudhary, T. Kaur, N. Aggarwal, B. Raman, D. Bansal, K.K. Ramakrishnan January 2016
A machine learning model for on body bus boarding activity detection using low power mobile device sensors - accelerometer & GSM location.
Shubham contributes to various projects on github and has also contributed to KDE in summer of code 2013.