Amazon, Bangalore

Applied Scientist Intern June, 22 - Nov, 22

Project : Bias mitigation for equitable learning.

  1. Developed methodologies to mitigate bias in the Alexa NLU model’s performance across different customer groups using continual learning algorithms. These techniques are tested on open-source data for their general applicability in tackling the model bias.
  2. Worked with Alexa NLU data to create, analyse and deploy deep learning models.
  3. Developed cross-locale bias mitigation data using data from different locales to mitigate bias in one particular locale using data augmentation techniques.

APHRDI, Bapatla

Data Analytics Intern May, 20 - Jul, 20

Project : Qualitative and Quantitative Research on COVID-19 in India.

  1. Predicted and Plotted the COVID-19 Data using Machine learning tools using SEIR model.
  2. Used Machine Learning algorithms to estimate and predict probabilities of various attributes.

Indian Institute of Technology - BHU, Varanasi

Summer Research Intern May, 19 - Jul, 19

Project : Simulation of weighted Cost-Sharing Network Game in Multicast Routing.

  1. Planned out network for a hypothetical city using Modified Nash Equilibrium and Graph and Network Theory.
  2. The simulation predicted cost effective methods of network layout.

Last update: 20 Nov 2022.