I graduated from CMU in May 2018 and currently looking for full time roles in Data Analytics Infrastructure (data algorithms on top of Hadoop/Spark/Java/Scala etc) or Machine Learning Infrastructure (deploying Large scale Distributed ML/Deep learning models in production). My dream job will be at the intersection of Distributed Systems and ML .
I have worked in the Analytics Platforms group at LinkedIn as a SWE intern in 2017 summer – my project was writing a Hive to Spark converter in Scala (created an optimized workflow on the top of my library as a POC which drastically brought down computation times on LinkedIn’s Ads data pipeline).
I have been a Graduate Researcher in CMU’s Parallel Data Lab working on Large scale Machine Learning projects (Distributed Deep learning, Straggler mitigation in parameter servers, federated learning). I am responsible for coming up with new algorithms for faster Neural network training, and I have been focussing more on the implementation aspects (eg. designing an adaptive learning rate rule that enables our algorithm to scale to more workers).
August 2016 May 2018
Masters at Carnegie Mellon University
May 2017 August 2017
Software Engineer Intern at LinkedIn