May 2021 – Jun 2021 · 1 mo · India

• Worked on a customer relation management tool, to help analyse user reviews and sentiments using natural language processing models.

Jan 2021 – Jul 2021 · 6 mos · Australia

• Work here was focused on network traffic classification using machine learning and deep learning.
• The output of the internship was a paper accepted in MNS 2021. The paper introduces transformer neural network model to further enhance classification results.

Jun 2020 – Dec 2020 · 6 mos · Singapore

• This research work was done as a part of one of my final year thesis. I worked on making robust chatbots and deployed them in production , at the speech lab NTU. Part of the work is condensed in a python package called "Bani" (link provided below).

May 2020 – Jul 2020 · 2 mos · Karnataka, India

• This research internship was aimed at developing a highly efficient Multi object tracker in the Advanced research lab at Samsung.

Jun 2019 – Aug 2019 · 2 mos · Japan

• Worked on improving State of the art scores of Video captioning models , the research work led to publication of my paper at ACPR 2019

May 2018 – Jul 2018 · 2 mos · India

• Internship was aimed at making a functional weather-data website and to pre-process weather data for further use. Processed and analysed weather data from Antarctica .Created back-end for a weather-data website. Analysed correlation between weather conditions, which was used to predict storms and other hazards finally used neural networks to make time-series predictions for weather data.