I am currently employed as an Applied Scientist II at Alexa AI. Formerly, I was employed as an Applied Scientst II at AWS AI Labs and a Research Scientist I in the Amazon SageMaker service team.
For obvious reasons, some of the work that was performed while being employed by Amazon will not be made public here. Others that are already launched or made public are listed here.
Tenure Satistics:
I published an arXiv Pre-print titled itled "Out-of-the-box channel pruned networks".
I have a patent issued on privacy preserving ML.
I published an oral paper at CVPR 2019. Code is available here.
I helped launch the Amazon SageMaker RL project for re:Invent 2018. One of the pieces that I was involved with was Neural Network Compression using Reinforcement Learning in collaboration with GE Healthcare.
I developed and launched the Amazon SageMaker Semantic Segmentation algorithms.
I published a blog demonstrating BYO Tensorflow or MXNet Models into SageMaker
I participated in the launch of the Amazon SageMaker Object Detection algorithms.
In my duties with the Aamazon SageMaker team, I often contribute to @aws, @dmlc and @awslabs open-source repositories. Apart from simple issues, I have written several Sagemaker Example notebooks and have contributed to the Sagemaker python SDK.