Ashish Kumar

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Ph.D. Candidate, EECS U.C. Berkeley

I recently joined UC Berkeley as a PhD Student, where I will be working with the Computer Vision Group. Before coming here, I was a Research Fellow at Microsoft Research India, where I worked with Dr. Manik Varma and Dr. Prateek Jain on developing Resource Efficient Machine algorithms. I am broadly interested in AI + Systems, with a focus on inference time efficiency. I completed my undergraduate study at Indian Institute of Technology Jodhpur, with a major in Computer Science and Engineering. My Bachelor's Thesis was advised by Dr. Gaurav Bhatnagar.

Here is my Resume.


  • Kumar, Ashish, Saurabh Goyal, and Manik Varma. “Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things.” International Conference on Machine Learning. 2017.
    [Abstract] [Pdf] [Code] [webpage]

  • Gupta, Chirag, Arun Sai Suggala, Ankit Goyal, Harsha Vardhan Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, and Prateek Jain. “ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices.” In International Conference on Machine Learning. 2017.
    [Abstract] [Pdf] [Code] [webpage]


  • Amazon Research, Palo Alto on “The Edge of Machine Learning” (Sept, 2017)

  • Facebook AI Research, Melno Park on “The Edge of Machine Learning” (Sept, 2017)

  • International Conference on Machine Learning 2017, Sydney, Australia on “Resource Efficient Machine Learning in 2KB of RAM for Internet of Things” (Aug, 2017)

  • Microsoft Research, Cambridge, UK on “The Edge of Machine Learning” (April, 2017)

  • Oxford University, UK on “The Edge of Machine Learning” (April, 2017)



I have been fortunate enough to work with the following people (reverse chronological order):


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Scuba Diving at Great Barrier Reef, Australia 2017
Depth: 10 meters

<– Scuba Diving at Phuket, Thailand in 2016
Depth: 12 meters

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<– Bungy Jumping at Rishikesh, India in 2016
Height: 83 meters