Hi! I'm Udit Saxena. I am a software engineer at Sumo Logic with the Advanced Analytics team.
I've completed my Master's in Computer Science from UMass, Amherst. My interests lie in the field of Machine Learning - specifically Natural Language Processing and Deep Learning.
Previously I've interned with Sumo Logic, working on Distributed Tracing, in the Bay Area with the metrics team led by David Andrzejewski.
Before this I worked as a Product Engineer with the Core team at Sprinklr and have interned with Adobe on User Analytics with the Adobe Captivate team.
During Spring 2018, I was working with Microsoft Research team at Montreal and Cambridge on Active Learning for transferring knowledge for Reading Comprehension systems with T.J. Hazen.
I have also interned at Lexalytics as a Machine Learning intern where my focus was on Graph Convolutional Networks for Text Classification.
I've worked on a Pytorch implementation of End to End Memory Networks, which is currently open as a pull request on the official Pytorch examples repository.
In Spring 2017, I worked with Prof. Andrew McCallum on serving pre-trained Tensorflow models for the JVM as part of IESL.
I was a Google Summer of Code intern, working with MLPACK (along with Ryan Curtin), a C++ based open source machine learning library.