Shubham Chaudhary


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.
DOI: 10.1145/3109761.3158385

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.
DOI: 10.1109/COMSNETS.2016.7439930

Open Source

Shubham contributes to various projects on github and has also contributed to KDE in summer of code 2013.