I had completed a PhD from IISc, where I performed most of my doctoral research @ the Machine Learning Lab, CSA, IISc. I was advised by Dr. Chiranjib Bhattacharya. Prior to that, I was advised by Dr. Indrajit Bhattacharya. My research focus during PhD has been on Bayesian Non-parametric modeling, Probabilistic Graphical models and their applications. I am also interested in approaches for scaling inference algorithms and recently deep learning based techniques. So far, I have worked on probabilistic models for the e-commerce domain, systems domain and Natural Language Processing.
Prior to joining PhD, I had worked in the industry in a variety of roles at Amazon.com(Seattle), Myntra.com(Bangalore) and InMobi(Bangalore). During my PhD, I have worked closely with NetApp(Bangalore) on designing machine learning models for mining block I/O traces and have also interned at Xerox Research Center(Bangalore), where I worked with modeling with Copulas.
I had also worked with Prof. Elaine Cohen (Geometric Design and Computation Group) in the Area of Geometric Modeling with B-Splines, during my Masters at University of Utah. My work involved finding novel algorithms for fitting B-Spline surfaces from noisy and incomplete point cloud data.
Note: Recently, sevaral students have reached out to me for mentoring and interview preparation tips. I am curating some interview questions on MachineLearningInterview.com. Feel free to check these out.
(Google Anita Borg Scholar APAC - 2014)
(GATE All India Rank 2 , Rank 4 in University)