Jul 2021 – Nov 2022 · 1 yr 4 mos · Toronto, Ontario, Canada

Jun 2020 – Jul 2021 · 1 yr 1 mo

May 2019 – Feb 2020 · 9 mos · Montreal, Canada Area

Aug 2018 – Nov 2019 · 1 yr 3 mos · Montreal, Canada Area

May 2017 – Jul 2017 · 2 mos · Houston, Texas Area

•  Worked under Prof. Ankit Patel and developed a neutrally consistent retinomorphic event driven end to end visual system and used reinforcement learning (A3C) to train it on Atari (Pacman, Centipede etc) games in tensorflow.
•  Did research on combining the event and frame based representation and came up with a biological explanation for the same.
•  The new architecture significantly improved the training stability, time and rewards of the games (submitted paper to CVPR).

May 2016 – Jul 2016 · 2 mos · Gurgaon, India

•  Reviewed different models and techniques for Sentiment Analysis, Dimensionality reduction, sentence representation and relevant feature extraction for VoCP(Voice of Cancer Patient) project.
•  Designed and implemented an end-to-end pipeline for extracting the sentiment and the corresponding evidence for it, using a two-step approach by first using a Subjectivity classifier followed by Polarity classification of reviews, using a XGBoost Classifier.
•  Employed semantic and syntactic features for prediction and designed rules for extracting drugs and sentiment evidence from the reviews.

Nov 2014 – Jan 2015 · 2 mos · Gurgaon, India

•  Designed and implemented Automated Scripts in Python, to crawl and manipulate the transport data, thus reducing the manual work and keeping data up to date.
•  Developed an intelligent system that tracked user’s activities. The system helped the users by sending them assistive emails relevant to their recent activities.