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I am a fourth year Ph.D. candidate in the department of Computer Science at Cornell University where I am advised by Rachee Singh. My research spans systems and networking, specifically, systems for machine learning. I am interested in both accelerating distributed ML by understanding existing interconnects such as Nvlinks and developing collective communication stacks for promising new interconnects such as silicon photonics.

Before joining Cornell, I had a wonderful time in the Systems group at Microsoft Research India. Here, I was advised by Dr. Muthian Sivathanu and Dr. Saikat Guha while working on mobile networks and storage stack for deep learning frameworks.

Prior to that, I obtained my undergraduate degree in Information Science and Engineering from PES University, Bengaluru. During my undergraduate degree, I was introduced to systems research as an intern at Microsoft Research India. I also spent memorable six months in the industry as an intern at Intuit India during my final semester of undergraduate degree.

You can find my CV here: [PDF].


Please feel free to contact me or drop by my office if you are at Cornell.

Email: abhishek [at] cs [dot] cornell [dot] edu

Office: 301, Bill and Melinda Gates Hall, 107 Hoy Road, Ithaca, NY, 14853 .


Chisel: An optical slice of the wide-area network
Abhishek Vijaya Kumar, Bill Owens, Nikolaj Bjoner, Binbin Guan, Yawei Yin, Victor Bahl, Rachee Singh
NSDI, 2024

[PDF] [BibTex]

Quiver: An Informed Storage Cache for Deep Learning
Abhishek Vijaya Kumar, Muthian Sivathanu
FAST, 2020