Amazon
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:
- Patents filed/issued: 7/1
- Peer-reviewed publications: 2
- Books/Book Chapters: 2
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Oct, 2020Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks.
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April, 2020Out-of-the-box channel pruned networks
I published an arXiv Pre-print titled itled "Out-of-the-box channel pruned networks".
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March, 2020Domain mapping for privacy preservation
I have a patent issued on privacy preserving ML.
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July, 2019Domain Adaptation work at CVPR 2019.
I published an oral paper at CVPR 2019. Code is available here.
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Nov, 2018Amazon SageMaker Reinforcement Learning.
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.
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Nov, 2018Amazon SageMaker Semantic Segmentation.
I developed and launched the Amazon SageMaker Semantic Segmentation algorithms.
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Aug, 2018Bring your own pre-trained MXNet or TensorFlow models into Amazon SageMaker.
I published a blog demonstrating BYO Tensorflow or MXNet Models into SageMaker
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July, 2018Amazon SageMaker Object Detection.
I participated in the launch of the Amazon SageMaker Object Detection algorithms.
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2018Amazon SageMaker.
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.