Research Assistant | August, 2018 - July, 2019
The first project I worked in was on estimating uncertainty of neural networks for medical imaging to detect Diabetic Retinopathy. I also created visualizations to find the areas of the image the neural network uses to make its predictions to build trust the results of a deep learning system. For my second project, I worked on Named Entity Recognition of medical concepts from Electronic Health Record (EHR) data in an unsupervised setting using a hybrid Bidirectional LSTM-CNN model.
Summer Research Intern | May, 2018 - July, 2018
I was one among 13 students selected from India for the highly competitive Charpak Research Internship Program. I worked for 3 months at the National Institute of Research in Computer Science and Automation (INRIA) on the CloHe collaborative project (funded as part of the CNRS Mastodons 2016 challenge call). The project aimed to develop, study and implement supervised and unsupervised classification methods on satellite and aerial images of France, when the data is of different natures and have missing and/or aberrant data.
Summer Research Intern | May, 2017 - June, 2017
I was one among 16 students selected worldwide selected for the International Internship Program under Taiwan International Graduate Program (TIGP-IIP). I worked for two months at Academia Sinica (and then later remotely for 6 months) along with our collaborator, Dr. Eva Zangerle (University of Innsbruck, Austria) on a Context- Aware Music Recommendation project, where I developed and conducted experiments on the #nowplaying-RS dataset containing 11.6 million listening events taken from Twitter and corresponding track features from Spotify. I published my research paper in the Proceedings of th 15th Sound & Music Computing Conference (SMC'18), and gave an oral presentation at Limassol, Cyprus.
Winter Intern | December, 2016 - December, 2016
This is where I was introduced to the intriguing scope of Machine Learning and Deep Learning and there has been no looking back ever since. I worked on a Deep Learning project for Text and Natural Image Deblurring. I learnt the nuances of Neural Networks and implemented a 3 layer Convolutional Neural Network using the Caffe framework.
Summer Research Intern | May, 2016 - July, 2016
I was selected to be an intern there under the Summer Internship Program of the Computer Science and Engineering department at IIT, Kharagpur. I worked on a project on Reversible Digital Watermarking where I had exposure to MATLAB and OpenCV (C++) to do image processing. I also learnt concepts of parallel computing as I increased time efficiency by 10% by parallelizing code in OpenCV.